Datasets:

ArtKanke
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researchmap.ai

paper_id stringlengths 10 10	published stringdate 2016-01-01 00:00:00 2026-10-29 00:00:00	year int16 2.02k 2.03k	title stringlengths 4 240	n_authors int32 1 3.44k	primary_category stringclasses 148 values	categories listlengths 1 9	answered bool 2 classes	affiliations_on_page bool 2 classes	subfield stringclasses 20 values	subfield_2 stringclasses 19 values	keywords listlengths 0 14 ⌀	keywords_printed bool 2 classes	venue stringclasses 18 values	venue_year int16 2.02k 2.03k ⌀	track stringclasses 4 values	main_conference bool 2 classes	code_or_project_url stringlengths 1 171 ⌀	code bool 2 classes	s2_paper_id stringlengths 40 40 ⌀	citations int64 0 199k ⌀	influential_citations int64 0 23.2k ⌀	highly_cited float64 0 1 ⌀	highly_cited_threshold int64 0 1.92k ⌀	independent bool 2 classes	credit_placed float64 0 1 ⌀	countries listlengths 0 29 ⌀
1601.00022	2016-01-05	2,016	Event Specific Multimodal Pattern Mining with Image-Caption Pairs	3	cs.CV	[ "cs.CV" ]	true	true	multimodal	null	[ "visual pattern mining", "image-caption pairs", "multimodal learning", "news events", "weakly supervised learning" ]	false	null	null	null	false	null	false	bc19b2745f89b5d511da745c7c5b3d16bca2d0cf	2	0	0	659	false	1	[ { "country": "US", "credit": 1 } ]
1601.00024	2016-01-01	2,016	Selecting Near-Optimal Learners via Incremental Data Allocation	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	core_ml	optimization	[ "data allocation", "model selection", "hyper-parameter optimization", "upper confidence bounds", "regret bounds", "learner selection" ]	false	AAAI	2,016	main	true	null	false	f6d29f22c70ff50f0598d1bf4c5556e9463d336c	66	1	0	245	false	1	[ { "country": "US", "credit": 1 } ]
1601.00025	2016-01-01	2,016	Write a Classifier: Predicting Visual Classifiers from Unstructured Text	3	cs.CV	[ "cs.CV", "cs.CL", "cs.LG" ]	true	false	multimodal	vision	[ "zero-shot learning", "visual classifiers", "unstructured text", "fine-grained categorization", "kernel methods", "distributional semantics" ]	true	null	null	null	false	null	false	7f45650e4c9dd8cbc2bf2dd411fc24ba5631de60	42	4	0	659	false	0	[]
1601.00027	2016-01-01	2,016	Computational Pathology: Challenges and Promises for Tissue Analysis	2	cs.CV	[ "cs.CV", "cs.AI" ]	true	true	health	vision	[ "Computational Pathology", "Machine Learning", "Medical Imaging", "Survival Statistics", "Cancer Research" ]	true	null	null	null	false	null	false	f5296805af309c7c98027bddc7b3ba57ed701271	279	4	1	242	false	1	[ { "country": "CH", "credit": 1 } ]
1601.00034	2016-01-01	2,016	Stochastic Neural Networks with Monotonic Activation Functions	5	stat.ML	[ "stat.ML", "cs.LG", "cs.NE" ]	true	true	core_ml	null	[ "restricted boltzmann machines", "stochastic neurons", "monotonic activation functions", "laplace approximation", "contrastive divergence", "exponential family harmoniums" ]	false	null	null	null	false	null	false	52fd1b061d19248c9213b39632f9fca5d41a33bc	21	2	0	245	false	1	[ { "country": "US", "credit": 0.6000000000000001 }, { "country": "CA", "credit": 0.4 } ]
1601.00062	2016-01-01	2,016	Practical Algorithms for Learning Near-Isometric Linear Embeddings	5	stat.ML	[ "stat.ML", "cs.LG", "math.OC" ]	true	true	optimization	null	[ "dimensionality reduction", "linear embeddings", "compressive sensing", "approximate nearest neighbors", "classification" ]	true	null	null	null	false	null	false	d3d85057a5bf8666910105c72b0108ef9730652d	4	0	0	143	false	1	[ { "country": "US", "credit": 0.8 }, { "country": "GB", "credit": 0.2 } ]
1601.00072	2016-01-01	2,016	GPU-Based Fuzzy C-Means Clustering Algorithm for Image Segmentation	3	cs.DC	[ "cs.DC", "cs.CV" ]	true	true	systems	health	[ "fuzzy c-means", "gpu", "cuda", "image segmentation", "parallel algorithms" ]	false	null	null	null	false	null	false	ff30f2e300f5264fe8837412b59e1d8ea51b6035	12	2	0	347	false	1	[ { "country": "MY", "credit": 0.9999999999999999 } ]
1601.00087	2016-01-01	2,016	Sentiment/Subjectivity Analysis Survey for Languages other than English	3	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "sentiment analysis", "subjectivity analysis", "non-English languages", "cross-lingual transfer", "Arabic sentiment analysis", "survey" ]	false	null	null	null	false	null	false	11e589e30e8c8fc0ae53cf31ec35918a7da6d5eb	33	1	0	320	false	0.333333	[ { "country": "US", "credit": 0.3333333333333333 } ]
1601.00088	2016-01-01	2,016	Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective	3	cs.CV	[ "cs.CV" ]	true	true	vision	probabilistic	[ "non-local means", "patch-based filtering", "Sinkhorn-Knopp", "Gaussian mixture model", "expectation-maximization", "image denoising" ]	true	null	null	null	false	http://engineering.purdue.edu/ChanGroup/	false	8965ddbeab8f45778766889e12151d80718b421e	10	0	0	499	false	1	[ { "country": "US", "credit": 1 } ]
1601.00119	2016-01-01	2,016	Discriminative Sparsity for Sonar ATR	4	cs.CV	[ "cs.CV" ]	true	true	vision	speech_audio	[ "sonar automatic target recognition", "sparse representation classification", "discriminative sparsity", "noisy sonar imagery", "limited training samples", "out-of-class detection" ]	false	null	null	null	false	null	false	0d1dc826397111174290e24a71dcadaf2f07f469	6	0	0	499	false	1	[ { "country": "US", "credit": 1 } ]
1601.00142	2016-01-02	2,016	Joint Estimation of Precision Matrices in Heterogeneous Populations	2	stat.ML	[ "stat.ML" ]	true	true	probabilistic	health	[ "hierarchical clustering", "graph laplacian", "high-dimensional estimation", "precision matrix", "heterogeneous populations", "sparsity" ]	true	null	null	null	false	null	false	8b670bccb1550144f5a24917d5ad2d5134cf28cd	59	5	0	129	false	1	[ { "country": "US", "credit": 1 } ]
1601.00149	2016-01-02	2,016	Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data	6	cs.CV	[ "cs.CV" ]	true	true	core_ml	null	[ "tensor sparse representation", "low-rank representation", "subspace clustering", "submodule clustering", "multi-way data", "t-product" ]	false	null	null	null	false	null	false	4c652663fc9e3e67bf08088d8153e35d741a33ce	14	5	0	245	false	0.833333	[ { "country": "CN", "credit": 0.6666666666666666 }, { "country": "AU", "credit": 0.16666666666666666 } ]
1601.00191	2016-01-02	2,016	An Improved Intelligent Agent for Mining Real-Time Databases Using Modified Cortical Learning Algorithms	1	cs.NE	[ "cs.NE" ]	true	true	core_ml	null	[ "Approximate Computing", "Associative Learning", "Cortical Learning Algorithms", "Embedded Systems", "Hierarchical Temporal Memory", "Intelligent Agent" ]	true	null	null	null	false	null	false	95d25efa330e33b4643ee381b4bef3d44dfdf1d1	2	0	0	245	false	1	[ { "country": "NG", "credit": 1 } ]
1601.00199	2016-01-02	2,016	A Unified Framework for Compositional Fitting of Active Appearance Models	2	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "active appearance models", "compositional gradient descent", "non-linear optimization", "bayesian inference", "schur complement", "wiberg algorithm" ]	true	null	null	null	false	http://www.menpo.org	false	a09c10b198cc98e8d4958da4963ae26a2207dbfc	38	4	0	499	false	1	[ { "country": "GB", "credit": 1 } ]
1601.00210	2016-01-02	2,016	Susceptibility of texture measures to noise: an application to lung tumor CT images	2	cs.CV	[ "cs.CV" ]	true	true	health	safety	[]	false	null	null	null	false	null	false	284d5183523f64c694b5e2b510b0a3221f9528d7	10	0	0	242	false	1	[ { "country": "GB", "credit": 1 } ]
1601.00211	2016-01-02	2,016	A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours	1	cs.CV	[ "cs.CV" ]	true	true	health	vision	[ "wavelet packet analysis", "fractal dimension", "meningioma", "texture classification", "histopathology", "best basis selection" ]	true	null	null	null	false	null	false	31ac3df93c8a262ec8f77625bf1907f8dbea62c7	19	2	0	242	false	1	[ { "country": "GB", "credit": 1 } ]
1601.00212	2016-01-02	2,016	Supervised Texture Segmentation: A Comparative Study	1	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "texture segmentation", "Gabor filters", "Gaussian Markov random fields", "co-occurrence matrix", "run-length matrix", "Bayesian classification" ]	true	null	null	null	false	null	false	3c310504cb160abf3d339ee2bf7663d4f71925b0	18	1	0	499	false	1	[ { "country": "JO", "credit": 1 } ]
1601.00236	2016-01-03	2,016	Supervised Dimensionality Reduction via Distance Correlation Maximization	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	core_ml	null	[ "supervised dimensionality reduction", "distance correlation", "low-dimensional representation", "nonlinear dependency", "generalized minimization maximization" ]	false	null	null	null	false	null	false	6f8152f71351895d7a5f7783545725bd51551646	41	2	0	245	false	1	[ { "country": "US", "credit": 1 } ]
1601.00238	2016-01-03	2,016	Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes	3	stat.ML	[ "stat.ML", "cs.LG" ]	true	true	theory	null	[ "k-dimensional coding", "generalization bounds", "covering number", "dictionary learning", "sparse coding", "vector quantization" ]	false	null	null	null	false	null	false	defdb21ed199387b5a92775c24459b556882ab3f	58	2	0	144	false	1	[ { "country": "AU", "credit": 0.6666666666666666 }, { "country": "SG", "credit": 0.3333333333333333 } ]
1601.00248	2016-01-03	2,016	Contrastive Entropy: A new evaluation metric for unnormalized language models	2	cs.CL	[ "cs.CL" ]	true	false	llm_nlp	null	[ "perplexity", "language models", "contrastive entropy", "evaluation metric", "unnormalized models", "recurrent neural networks" ]	false	null	null	null	false	null	false	dd173120ef93257c6f1648b331a631911216ef56	7	0	0	320	false	0	[]
1601.00260	2016-01-03	2,016	Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection	3	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "super resolution", "iterative back projection", "image registration", "interpolation", "image enhancement" ]	true	null	null	null	false	null	false	14102f2cdc553386be57d71120c9db139b3340ff	28	1	0	499	false	1	[ { "country": "CY", "credit": 1 } ]
1601.00287	2016-01-03	2,016	Wavelet Scattering on the Pitch Spiral	2	cs.SD	[ "cs.SD", "cs.AI" ]	true	true	speech_audio	theory	[ "scattering transform", "wavelets", "pitch spiral", "harmonic sounds", "source-filter model", "audio representation" ]	false	null	null	null	false	www.github.com/lostanlen/scattering.m	true	1ed8d74530bf6c2b9eb56b22d28a317d4524e493	24	0	0	291	false	1	[ { "country": "FR", "credit": 1 } ]
1601.00311	2016-01-03	2,016	How can one sample images with sampling rates close to the theoretical minimum?	1	cs.CV	[ "cs.CV", "physics.optics" ]	true	true	other	null	[ "image sampling", "image reconstruction", "sampling theory", "compressed sensing", "sparse approximation", "minimal sampling rate" ]	false	null	null	null	false	null	false	492e4b8ec5da1d9f2135303d9602f26c5aa9d6a2	0	0	0	83	false	1	[ { "country": "IL", "credit": 1 } ]
1601.00313	2016-01-03	2,016	When more of the same is better	1	cs.MA	[ "cs.MA", "physics.soc-ph" ]	true	true	other	optimization	[ "collective intelligence", "agent-based model", "imitative learning", "diversity", "NK landscape", "problem solving" ]	false	null	null	null	false	null	false	5f048b03a6bbfbd831302d796e3e9194e9b288b3	13	0	0	83	false	1	[ { "country": "BR", "credit": 1 } ]
1601.00318	2016-01-03	2,016	A Unified Approach for Learning the Parameters of Sum-Product Networks	3	cs.LG	[ "cs.LG", "cs.AI" ]	true	true	probabilistic	optimization	[ "sum-product networks", "parameter learning", "maximum likelihood estimation", "signomial program", "concave-convex procedure", "expectation maximization" ]	false	NeurIPS	2,016	main	true	null	false	6f3b134b24f18c4a81c2716662a24af13241e526	80	11	0	129	false	0.666667	[ { "country": "US", "credit": 0.3333333333333333 }, { "country": "CA", "credit": 0.3333333333333333 } ]
1601.00350	2016-01-03	2,016	Sparse Diffusion Steepest-Descent for One Bit Compressed Sensing in Wireless Sensor Networks	3	stat.ML	[ "stat.ML", "cs.IT", "cs.LG", "math.IT" ]	true	true	systems	null	[ "one bit compressed sensing", "wireless sensor networks", "diffusion strategy", "steepest descent", "distributed learning", "sparse recovery" ]	false	null	null	null	false	null	false	bde51f06da1ea29e9e085aa658fe25c64e735db6	0	0	0	347	false	1	[ { "country": "IR", "credit": 0.6666666666666666 }, { "country": "AU", "credit": 0.3333333333333333 } ]
1601.00367	2016-01-01	2,016	Benders Decomposition for the Design of a Hub and Shuttle Public Transit System	3	cs.AI	[ "cs.AI" ]	true	true	optimization	null	[ "benders decomposition", "hub and shuttle transit", "multimodal network design", "pareto optimal cuts", "cut bundling", "mixed integer programming" ]	true	null	null	null	false	null	false	6a074b4f0543bfae11468592c9101bc12e0ba422	104	6	0	143	false	1	[ { "country": "AU", "credit": 0.6666666666666666 }, { "country": "US", "credit": 0.3333333333333333 } ]
1601.00372	2016-01-04	2,016	Mutual Information and Diverse Decoding Improve Neural Machine Translation	2	cs.CL	[ "cs.CL", "cs.AI" ]	true	true	llm_nlp	null	[ "neural machine translation", "mutual information", "sequence-to-sequence", "diverse decoding", "n-best re-ranking" ]	false	null	null	null	false	null	false	1cc0c322af508a8f7b6ea9705c9023c78bc7bc6f	130	14	0	320	false	1	[ { "country": "US", "credit": 1 } ]
1601.00393	2016-01-04	2,016	On the Reducibility of Submodular Functions	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	optimization	null	[ "submodular functions", "reducibility", "perturbation", "lattice reduction", "submodular optimization", "scalability" ]	false	null	null	null	false	null	false	317ebd8727df3a57495141fb817f2414a6eba673	0	0	0	143	false	1	[ { "country": "CA", "credit": 0.3333333333333333 }, { "country": "US", "credit": 0.3333333333333333 }, { "country": "CN", "credit": 0.3333333333333333 } ]
1601.00396	2016-01-04	2,016	Automatic Detection and Decoding of Photogrammetric Coded Targets	3	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "photogrammetry", "coded targets", "target detection", "decoding", "close-range photogrammetry" ]	false	null	null	null	false	null	false	ee0c2a4096e8b43611deaf6684579123fa073b9c	10	0	0	499	false	1	[ { "country": "KR", "credit": 1 } ]
1601.00400	2016-01-04	2,016	Multi-task CNN Model for Attribute Prediction	4	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "attribute prediction", "multi-task learning", "deep CNN", "semantic attributes", "latent task matrix" ]	true	null	null	null	false	null	false	f69cda1175c3ddf2d4e3f3789a6c743b1059ebb2	310	16	0	499	false	1	[ { "country": "SG", "credit": 0.5 }, { "country": "CN", "credit": 0.5 } ]
1601.00414	2016-01-04	2,016	Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds	5	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "subspace clustering", "symmetric positive definite manifold", "kernel methods", "log-Euclidean kernel", "sparse representation", "Riemannian geometry" ]	false	CVPR	2,016	main	true	null	false	ea61e3786d0773649436ed17f96c8a263e8b3575	113	3	0	499	false	1	[ { "country": "CN", "credit": 0.6000000000000001 }, { "country": "AU", "credit": 0.4 } ]
1601.00449	2016-01-04	2,016	Fitting Spectral Decay with the $k$-Support Norm	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	optimization	null	[ "k-support norm", "orthogonally invariant norms", "matrix completion", "multitask learning", "proximal point algorithms" ]	true	null	null	null	false	null	false	586636a3709d32b45d02ccfa9656baa012ee69f2	12	3	0	143	false	1	[ { "country": "GB", "credit": 0.5 }, { "country": "IT", "credit": 0.5 } ]
1601.00496	2016-01-04	2,016	Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data	5	stat.AP	[ "stat.AP", "q-bio.NC", "stat.ML" ]	true	true	health	probabilistic	[ "dynamic functional connectivity", "Bayesian nonparametric modeling", "hidden Markov modeling", "Wishart mixture modeling", "predictive likelihood" ]	true	null	null	null	false	null	false	6f42211a3334602fbeac34747c92352806d90859	13	0	0	242	false	1	[ { "country": "DK", "credit": 1 } ]
1601.00504	2016-01-04	2,016	Learning relationships between data obtained independently	2	stat.ML	[ "stat.ML" ]	true	true	probabilistic	null	[ "data fusion", "statistical matching", "quantile matching", "deconvolution", "monotone dependence" ]	false	null	null	null	false	null	false	af96b41d7a26edf107aedba6472070f74ad53fd6	28	8	0	129	false	1	[ { "country": "DE", "credit": 0.75 }, { "country": "GB", "credit": 0.25 } ]
1601.00529	2016-01-05	2,016	Programming in logic without logic programming	2	cs.AI	[ "cs.AI" ]	true	true	other	null	[ "reactive rules", "state transition systems", "reactive models", "model generation", "KELPS", "logic-based agents" ]	true	null	null	null	false	null	false	d8564aa0f5a23f69fb1d6ababdbdc2935616e302	21	0	0	83	false	1	[ { "country": "GB", "credit": 1 } ]
1601.00543	2016-01-04	2,016	Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning	6	cs.IT	[ "cs.IT", "cs.LG", "math.IT" ]	true	true	core_ml	probabilistic	[ "compressed sensing", "structured sparsity", "approximate message passing", "k-nearest neighbor" ]	true	null	null	null	false	null	false	26c162b989bf06707db63e3a22b017a0ee74daf6	11	0	0	245	false	0.833333	[ { "country": "CN", "credit": 0.6666666666666666 }, { "country": "AU", "credit": 0.16666666666666666 } ]
1601.00574	2016-01-04	2,016	NFL Play Prediction	3	cs.LG	[ "cs.LG" ]	true	true	other	null	[ "NFL play prediction", "playcalling", "sports analytics", "regression", "classification", "progress measure" ]	false	null	null	null	false	null	false	cd6cb85e4a1ca3c141dac1725c8be0b512d77dd2	5	1	0	83	false	1	[ { "country": "US", "credit": 1 } ]
1601.00595	2016-01-04	2,016	Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	false	core_ml	vision	[ "robust regression", "kernel methods", "greedy algorithms", "outlier detection", "image denoising" ]	false	null	null	null	false	null	false	dcb39f2714cf2ef6e72cc656dc26af8a9dc8dbb7	12	0	0	245	false	1	[ { "country": "GR", "credit": 1 } ]
1601.00599	2016-01-04	2,016	Multimodal Classification of Events in Social Media	2	cs.CV	[ "cs.CV", "cs.IR", "cs.MM" ]	true	true	multimodal	retrieval	[ "social events", "social media retrieval", "event classification", "multimodal retrieval" ]	true	null	null	null	false	null	false	6ab75a1fa1ab1c0c9c2c4d8536f2a05de434a418	24	1	0	659	false	1	[ { "country": "AT", "credit": 1 } ]
1601.00620	2016-01-04	2,016	Distant IE by Bootstrapping Using Lists and Document Structure	4	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "distant supervision", "information extraction", "coupling constraints", "label propagation", "document structure", "noisy training data" ]	false	AAAI	2,016	main	true	null	false	9a41111cf881b052555985bd8cf304ef9fc4f6d5	14	0	0	320	false	1	[ { "country": "US", "credit": 1 } ]
1601.00626	2016-01-04	2,016	Scalable Models for Computing Hierarchies in Information Networks	2	cs.AI	[ "cs.AI", "cs.DL", "cs.LG" ]	true	true	probabilistic	graphs	[ "hierarchical topic model", "information networks", "nonparametric bayesian", "vertex programming", "taxonomy induction", "web-scale learning" ]	false	null	null	null	false	null	false	901bfaeda6d8aa54527bf26e72ee2f16ca06b3d4	2	0	0	129	false	1	[ { "country": "US", "credit": 1 } ]
1601.00669	2016-01-04	2,016	Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches	6	cs.AI	[ "cs.AI" ]	true	true	agents	robotics	[ "cognitive architecture", "computational creativity", "dual process theory", "Psi model", "artificial painter", "robotic creativity" ]	false	null	null	null	false	null	false	e8b362493d7bbc62ac320d622d4c567db018a0ac	33	2	0	41	false	1	[ { "country": "IT", "credit": 0.9999999999999999 } ]
1601.00670	2016-01-04	2,016	Variational Inference: A Review for Statisticians	3	stat.CO	[ "stat.CO", "cs.LG", "stat.ML" ]	true	true	probabilistic	null	[ "variational inference", "approximate posterior", "kullback-leibler divergence", "mean-field", "bayesian statistics", "stochastic optimization" ]	true	null	null	null	false	null	false	6f24d7a6e1c88828e18d16c6db20f5329f6a6827	6,033	561	1	129	false	1	[ { "country": "US", "credit": 1 } ]
1601.00701	2016-01-04	2,016	Nonlinear Hebbian learning as a unifying principle in receptive field formation	2	q-bio.NC	[ "q-bio.NC", "cs.LG" ]	true	true	core_ml	science	[ "nonlinear hebbian learning", "receptive fields", "natural image statistics", "sparse coding", "synaptic plasticity", "sensory coding" ]	false	null	null	null	false	null	false	35475d771ee4be42e37f7d49e65455b9c3d6d5c4	71	3	0	245	false	1	[ { "country": "CH", "credit": 1 } ]
1601.00706	2016-01-05	2,016	Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis	4	cs.LG	[ "cs.LG", "cs.AI", "cs.CV" ]	true	true	vision	generative	[ "view synthesis", "recurrent encoder-decoder", "disentangling", "3D rotation", "weak supervision" ]	false	NeurIPS	2,015	main	true	null	false	3411535f7888a943853895e8eef2bb0b6d328c2a	317	11	0	499	false	1	[ { "country": "US", "credit": 1 } ]
1601.00710	2016-01-05	2,016	Multi-Source Neural Translation	2	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "multi-source machine translation", "neural encoder-decoder", "trilingual data", "system combination", "Bleu" ]	false	NAACL	2,016	main	true	null	false	f4610bbad14cf5c722cfe11fcca3d7e6382452dd	338	30	1	320	false	1	[ { "country": "US", "credit": 1 } ]
1601.00720	2016-01-05	2,016	How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites	2	q-bio.NC	[ "q-bio.NC", "cs.AI" ]	true	true	theory	health	[ "sparse distributed representations", "active dendrites", "neocortex", "NMDA spikes", "pyramidal neurons" ]	true	null	null	null	false	null	false	ec3484e2ced345f2205aad5996664add2db4901c	92	6	0	144	false	1	[ { "country": "US", "credit": 1 } ]
1601.00722	2016-01-05	2,016	Matrix Variate RBM and Its Applications	5	cs.CV	[ "cs.CV" ]	true	true	generative	vision	[ "restricted boltzmann machine", "matrix variate", "generative model", "image super-resolution", "handwritten digit recognition" ]	false	null	null	null	false	null	false	49c0de388eef92504f1591ec6e22f30fe243886b	3	0	0	1,923	false	1	[ { "country": "CN", "credit": 0.8 }, { "country": "AU", "credit": 0.2 } ]
1601.00732	2016-01-06	2,016	Low-Rank Representation over the Manifold of Curves	4	cs.CV	[ "cs.CV", "cs.LG" ]	true	true	core_ml	null	[ "low-rank representation", "functional data", "manifold of curves", "subspace clustering", "square-root velocity function", "shape analysis" ]	false	null	null	null	false	null	false	a2793331be3555933e30126e31fdaa4001bee228	2	0	0	245	false	1	[ { "country": "AU", "credit": 0.75 }, { "country": "US", "credit": 0.25 } ]
1601.00738	2016-01-05	2,016	Resource Sharing for Multi-Tenant NoSQL Data Store in Cloud	1	cs.DC	[ "cs.DC", "cs.AI", "cs.DB", "eess.SY" ]	true	true	systems	null	[]	false	null	null	null	false	null	false	e71a100ac9517e0bd37029f933c853e77d93145e	2	0	0	347	false	1	[ { "country": "US", "credit": 1 } ]
1601.00740	2016-01-05	2,016	Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture	6	cs.RO	[ "cs.RO", "cs.CV", "cs.LG" ]	true	true	robotics	time_series	[ "maneuver anticipation", "sensory fusion", "recurrent neural networks", "LSTM", "advanced driver assistance systems", "driving context" ]	false	null	null	null	false	http://brain4cars.com	false	2516a6065e96307d08d9a7ae4298160772c2faa0	150	26	0	185	false	1	[ { "country": "US", "credit": 0.9999999999999999 } ]
1601.00741	2016-01-05	2,016	Learning Preferences for Manipulation Tasks from Online Coactive Feedback	4	cs.RO	[ "cs.RO", "cs.AI", "cs.LG" ]	true	true	robotics	rl	[ "coactive learning", "preference learning", "trajectory planning", "manipulation", "online learning", "human feedback" ]	false	null	null	null	false	null	false	d1f037a0a46a7372fff7540d57d2d92d733151f1	132	19	0	185	false	1	[ { "country": "US", "credit": 1 } ]
1601.00770	2016-01-05	2,016	End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures	2	cs.CL	[ "cs.CL", "cs.LG" ]	true	true	llm_nlp	null	[ "relation extraction", "entity recognition", "LSTM", "dependency tree", "end-to-end learning", "curriculum learning" ]	false	ACL	2,016	main	true	null	false	3899f87a2031f3434f89beb68c11a1ca6428328a	1,283	113	1	320	false	1	[ { "country": "JP", "credit": 0.5 }, { "country": "US", "credit": 0.5 } ]
1601.00781	2016-01-05	2,016	Robust Method of Vote Aggregation and Proposition Verification for Invariant Local Features	3	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "Computer Vision", "Image Analysis", "Multiple Object Detection", "Object Localization", "Pattern Matching" ]	true	null	null	null	false	null	false	b5ef499f3ea62468162b8f598e715be79f9a7c40	4	0	0	499	false	1	[ { "country": "PL", "credit": 1 } ]
1601.00816	2016-01-05	2,016	Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration	1	cs.AI	[ "cs.AI", "cs.CL", "cs.CY", "cs.LG" ]	true	true	speech_audio	null	[ "origins of speech forms", "self-organization", "curiosity", "active exploration", "development and evolution", "evo-devo" ]	true	null	null	null	false	null	false	94eb847ad8e2e4e8298370b4a2b9f82dd34d2ff3	6	0	0	291	false	1	[ { "country": "FR", "credit": 1 } ]
1601.00825	2016-01-05	2,016	Gamifying Video Object Segmentation	3	cs.CV	[ "cs.CV" ]	true	true	vision	other	[ "interactive video object segmentation", "games with a purpose", "human in the loop", "spatio-temporal superpixel segmentation" ]	true	null	null	null	false	null	false	bf677f58e05b09d349a38632d57a7b68e20fa57b	13	1	0	499	false	1	[ { "country": "IT", "credit": 1 } ]
1601.00852	2016-01-05	2,016	Self-learning and adaptation in a sensorimotor framework	4	cs.RO	[ "cs.RO" ]	true	true	robotics	rl	[ "sensorimotor learning", "forward model", "gaussian processes", "automatic relevance determination", "rrt*", "adaptive control" ]	false	ICRA	2,016	main	true	null	false	976a8240407508eb512b23619723b9eb128a8877	9	0	0	185	false	1	[ { "country": "SE", "credit": 1 } ]
1601.00863	2016-01-05	2,016	Coordinate Friendly Structures, Algorithms and Applications	5	math.OC	[ "math.OC", "cs.CE", "cs.DC", "math.NA", "stat.ML" ]	true	true	optimization	systems	[ "coordinate update", "fixed-point", "operator splitting", "parallel", "asynchronous" ]	true	null	null	null	false	null	false	aae5a6c3330c6e5b31b7c2da725fd5e6138edb74	78	2	0	143	false	1	[ { "country": "US", "credit": 1 } ]
1601.00877	2016-01-20	2,016	Proceedings of the Sixth International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob 2015)	4	cs.RO	[ "cs.RO" ]	false	null	robotics	other	null	null	null	null	null	false	null	null	59e6d2624d9ddb515c2f95f16b170898cd19fa20	3	0	0	185	null	null	null
1601.00893	2016-01-05	2,016	The Role of Context Types and Dimensionality in Learning Word Embeddings	4	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "word embeddings", "skip-gram", "context types", "dimensionality", "intrinsic evaluation", "extrinsic evaluation" ]	false	NAACL	2,016	main	true	http://code.google.com/p/word2vec/	false	cf9830bf8d2babc3c32d192cdccb27aeaf46a048	127	9	0	320	false	1	[ { "country": "IL", "credit": 0.25 }, { "country": "US", "credit": 0.75 } ]
1601.00901	2016-01-05	2,016	Joint learning of ontology and semantic parser from text	2	cs.AI	[ "cs.AI", "cs.CL" ]	true	true	llm_nlp	graphs	[ "ontology learning", "semantic parsing", "grammar induction", "context-free grammar" ]	true	null	null	null	false	null	false	f53933b4fb7b0f0dbf694910c016d671b85b8861	6	1	0	320	false	1	[ { "country": "SI", "credit": 1 } ]
1601.00909	2016-01-05	2,016	The high-conductance state enables neural sampling in networks of LIF neurons	5	q-bio.NC	[ "q-bio.NC", "cond-mat.dis-nn", "cs.NE", "physics.bio-ph", "stat.ML" ]	true	false	theory	systems	[ "neural sampling", "high-conductance state", "leaky integrate-and-fire", "neural response function", "spiking neural networks" ]	false	null	null	null	false	null	false	1b3cbff4c1f55175c5737e9641219ee5b677366f	19	0	0	144	false	1	[ { "country": "DE", "credit": 1 } ]
1601.00917	2016-01-05	2,016	DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks	5	cs.LG	[ "cs.LG", "cs.NE" ]	true	true	systems	optimization	[ "hyperparameter optimization", "reverse-mode automatic differentiation", "deep neural networks", "gradient-based tuning" ]	false	IJCAI	2,016	main	true	https://github.com/bigaidream-projects/drmad	true	c112084e0b3e18de82cd1e188b97c8a5997c3e65	32	6	0	347	false	0.8	[ { "country": "SG", "credit": 0.6000000000000001 }, { "country": "CN", "credit": 0.2 } ]
1601.00925	2016-01-05	2,016	Complex Decomposition of the Negative Distance kernel	3	cs.LG	[ "cs.LG" ]	true	true	core_ml	null	[ "support vector machine", "kernel function", "text categorization", "negative distance kernel", "Mahalanobis distance" ]	true	null	null	null	false	null	false	585a1b28028fdf2a7c32b6a0aa7eefbe00c571fe	2	0	0	245	false	1	[ { "country": "CH", "credit": 0.3333333333333333 }, { "country": "DE", "credit": 0.6666666666666666 } ]
1601.00955	2016-01-05	2,016	Optimally Pruning Decision Tree Ensembles With Feature Cost	3	stat.ML	[ "stat.ML", "cs.LG" ]	true	true	optimization	null	[ "decision tree ensembles", "ensemble pruning", "feature cost", "budgeted prediction", "integer programming", "linear programming relaxation" ]	false	null	null	null	false	null	false	546536face9214ea528b3af897614f1f70f0f8c4	1	0	0	143	false	1	[ { "country": "US", "credit": 1 } ]
1601.00978	2016-01-05	2,016	Crater Detection via Convolutional Neural Networks	4	cs.CV	[ "cs.CV" ]	true	true	vision	science	[ "crater detection", "convolutional neural networks", "satellite imagery", "planetary science", "feature learning" ]	false	null	null	null	false	null	false	60588dc2c116825cb7d39005fa01c672e3a46a63	56	4	0	499	false	1	[ { "country": "US", "credit": 1 } ]
1601.00998	2016-01-05	2,016	Forecasting Social Navigation in Crowded Complex Scenes	7	cs.CV	[ "cs.CV", "cs.RO", "cs.SI" ]	true	true	robotics	time_series	[ "trajectory forecasting", "social navigation", "crowd scenes", "multi-class interactions", "social sensitivity", "dataset" ]	false	null	null	null	false	null	false	cf0913d28e5805cbea3e91e456189531339a4992	28	1	0	185	false	1	[ { "country": "US", "credit": 0.9999999999999998 } ]
1601.01006	2016-01-05	2,016	Space-Time Representation of People Based on 3D Skeletal Data: A Review	4	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "skeleton-based representation", "3D human pose", "space-time features", "action recognition", "survey", "RGB-D" ]	false	null	null	null	false	null	false	7385f998caf17b2c6ae9f8808b6fd3a05205b438	320	9	0	499	false	1	[ { "country": "US", "credit": 1 } ]
1601.01058	2016-01-08	2,016	Wikiometrics: A Wikipedia Based Ranking System	2	cs.DL	[ "cs.DL", "cs.AI", "cs.SI" ]	true	true	other	null	[ "wikipedia", "ranking", "wikiometrics", "metrics", "wisdom of the crowd", "university rankings" ]	false	null	null	null	false	null	false	8d68bea492cde5e41fedb521eea87f2f98d48950	12	0	0	83	false	1	[ { "country": "IL", "credit": 1 } ]
1601.01060	2016-01-06	2,016	Low-rank Matrix Factorization under General Mixture Noise Distributions	5	cs.CV	[ "cs.CV" ]	true	true	probabilistic	vision	[ "low-rank matrix factorization", "mixture of exponential power", "expectation maximization", "markov random field", "robust subspace learning", "hyperspectral image restoration" ]	false	ICCV	2,015	main	true	null	false	5964254f77f932ccd26e1c15801d14dd799cddf3	123	2	0	129	false	1	[ { "country": "CN", "credit": 1 } ]
1601.01073	2016-01-06	2,016	Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism	3	cs.CL	[ "cs.CL", "stat.ML" ]	true	true	llm_nlp	null	[ "neural machine translation", "multilingual translation", "attention mechanism", "encoder-decoder", "low-resource languages" ]	false	NAACL	2,016	main	true	null	false	9ed9bff37ec952134564b3b2a022b7aba9479ff2	649	52	1	320	false	1	[ { "country": "TR", "credit": 0.3333333333333333 }, { "country": "US", "credit": 0.3333333333333333 }, { "country": "CA", "credit": 0.3333333333333333 } ]
1601.01085	2016-01-06	2,016	Incorporating Structural Alignment Biases into an Attentional Neural Translation Model	6	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "neural machine translation", "attention", "alignment models", "structural biases", "low resource translation" ]	false	NAACL	2,016	main	true	null	false	ada937c9f51316c6ac87f9d1d4509383d23e0c21	177	10	0	320	false	1	[ { "country": "AU", "credit": 0.6666666666666666 }, { "country": "US", "credit": 0.3333333333333333 } ]
1601.01100	2016-01-06	2,016	Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition	4	cs.CV	[ "cs.CV" ]	true	true	vision	null	[ "scene text recognition", "convolutional recurrent neural network", "LSTM", "segmentation-free recognition", "HMM", "street view house numbers" ]	false	null	null	null	false	null	false	42a0909be2b64660fa06557c9ccfad225687a7be	3	0	0	499	false	1	[ { "country": "CN", "credit": 1 } ]
1601.01102	2016-01-06	2,016	A Survey on Social Media Anomaly Detection	5	cs.LG	[ "cs.LG", "cs.SI" ]	true	true	other	null	[ "anomaly detection", "social media analysis", "malicious activity detection", "survey" ]	true	null	null	null	false	null	false	2212e42e73bcc61e861428f32bf1180e81f3d049	127	2	1	83	false	1	[ { "country": "US", "credit": 0.9646120112072116 }, { "country": "FR", "credit": 0.002679985381897917 }, { "country": "CH", "credit": 0.016713363381654283 }, { "country": "CA", "credit": 0.006931416737726886 }, { "country": "IL", "credit": 0.004897064197831648 ...
1601.01121	2016-01-06	2,016	A pragmatic approach to multi-class classification	4	cs.LG	[ "cs.LG" ]	true	true	core_ml	null	[ "multi-class classification", "hierarchical classification", "decomposition approaches", "cascade of classifiers", "multilayer perceptrons", "gesture recognition" ]	false	null	null	null	false	null	false	8afe9ea1a3d922abe27b5efe7b1e87a1fc69ae5e	18	0	0	245	false	1	[ { "country": "DE", "credit": 0.75 }, { "country": "FR", "credit": 0.25 } ]
1601.01142	2016-01-06	2,016	Streaming Gibbs Sampling for LDA Model	3	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	probabilistic	systems	[ "latent dirichlet allocation", "gibbs sampling", "streaming inference", "online learning", "topic models", "distributed inference" ]	false	null	null	null	false	null	false	5b1a911311759c656f977658038c5c666952d3a9	17	4	0	129	false	1	[ { "country": "US", "credit": 0.3333333333333333 }, { "country": "CN", "credit": 0.6666666666666666 } ]
1601.01145	2016-01-06	2,016	Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study	5	cs.CV	[ "cs.CV" ]	true	false	vision	null	[ "vehicle classification", "deep neural network", "transfer learning", "rear view images", "vehicle detection", "intelligent transportation" ]	true	null	null	null	false	null	false	c830ca44817a012bb2dea3cacedf7ae89d87af91	91	5	0	499	false	0.4	[ { "country": "SG", "credit": 0.4 } ]
1601.01157	2016-01-06	2,016	A simple technique for improving multi-class classification with neural networks	3	cs.LG	[ "cs.LG" ]	true	true	core_ml	agents	[ "multi-class classification", "one-against-all", "neural networks", "hand gesture recognition", "score fusion", "time-of-flight" ]	false	null	null	null	false	null	false	d402216f6bdcd361a884dea0301237925d54f8ec	11	0	0	245	false	1	[ { "country": "DE", "credit": 0.6666666666666666 }, { "country": "FR", "credit": 0.3333333333333333 } ]
1601.01190	2016-01-06	2,016	On Bayesian index policies for sequential resource allocation	1	stat.ML	[ "stat.ML" ]	true	true	probabilistic	rl	[ "multi-armed bandits", "bayes-ucb", "regret minimization", "exponential families", "index policies", "kl-ucb" ]	false	null	null	null	false	null	false	4e49ef0f20dbbf8aa940ecec7e26077d69359b60	87	11	0	129	false	1	[ { "country": "FR", "credit": 1 } ]
1601.01195	2016-01-06	2,016	Part-of-Speech Tagging for Code-mixed Indian Social Media Text at ICON 2015	1	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "Part-of-Speech Tagging", "Code Mixed", "Social Media", "HMM" ]	true	null	null	null	false	null	false	b99c93373d1ae0d105da67a67b87ab65d127b289	9	1	0	320	false	1	[ { "country": "IN", "credit": 1 } ]
1601.01216	2016-01-06	2,016	Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis	2	cs.CV	[ "cs.CV" ]	true	true	science	health	[ "3D object detection", "fluorescent microscopy", "spatial statistics", "colocalization analysis", "protein foci", "image segmentation" ]	true	null	null	null	false	null	false	6eef3f8c3fdb16b726fbac18bf94a074cc992819	2	0	0	198	false	1	[ { "country": "DE", "credit": 1 } ]
1601.01218	2016-01-06	2,016	Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication	3	cs.LG	[ "cs.LG", "cs.IT", "cs.SD", "math.IT" ]	true	true	other	speech_audio	[ "underwater acoustic communication", "nonlinear channel equalization", "piecewise linear models", "adaptive algorithms", "tree structure" ]	true	null	null	null	false	null	false	72ff8cf992a6c85ec8f5929e4a981f494e465f44	13	1	0	83	false	1	[ { "country": "TR", "credit": 0.6666666666666666 }, { "country": "US", "credit": 0.3333333333333333 } ]
1601.01228	2016-01-06	2,016	Some Experimental Issues in Financial Fraud Detection: An Investigation	2	cs.CR	[ "cs.CR", "cs.AI" ]	true	true	other	null	[ "financial fraud detection", "credit card fraud", "performance metrics", "computational intelligence", "binary classification" ]	true	null	null	null	false	null	false	05c4e9aff28aed057a7a8952d510f7529dd62d57	11	0	0	83	false	1	[ { "country": "AU", "credit": 1 } ]
1601.01232	2016-01-06	2,016	Shape Animation with Combined Captured and Simulated Dynamics	5	cs.GR	[ "cs.GR", "cs.CV" ]	true	true	robotics	graphs	[ "volumetric animation", "performance capture", "centroidal Voronoi tessellation", "physical simulation", "shape tracking" ]	false	null	null	null	false	null	false	c7ce491faa76097515ad19d3455bd87c747e384d	1	0	0	185	false	1	[ { "country": "FR", "credit": 1 } ]
1601.01272	2016-01-06	2,016	Recurrent Memory Networks for Language Modeling	3	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "recurrent neural networks", "language modeling", "memory networks", "LSTM", "sentence completion", "interpretability" ]	false	NAACL	2,016	main	true	null	false	4a197ce36461849bcaee565b510a8ef71b7dcae3	21	1	0	320	false	1	[ { "country": "NL", "credit": 1 } ]
1601.01280	2016-01-06	2,016	Language to Logical Form with Neural Attention	2	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "semantic parsing", "sequence-to-sequence", "attention mechanism", "logical forms", "recurrent neural networks" ]	false	ACL	2,016	main	true	null	false	558ac446dc26bee9789d660a251b75728cb6eeb2	800	97	1	320	false	1	[ { "country": "GB", "credit": 1 } ]
1601.01289	2016-01-06	2,016	Internet of Drones	3	cs.NI	[ "cs.NI", "cs.RO" ]	true	true	other	robotics	[ "unmanned aerial vehicles", "drone traffic management", "airspace management", "layered network architecture", "air traffic control", "package delivery" ]	false	null	null	null	false	null	false	183665c2bd41f68cb079b8a7c33b87529414ed48	167	6	1	83	false	1	[ { "country": "CA", "credit": 1 } ]
1601.01297	2016-01-07	2,016	Angrier Birds: Bayesian reinforcement learning	3	cs.AI	[ "cs.AI", "cs.LG" ]	true	true	rl	probabilistic	[ "Reinforcement Learning", "Q-Learning", "RLSVI", "Exploration" ]	true	null	null	null	false	null	false	4415e497eb72deb919ac286199697109c965ca56	1	0	0	412	false	1	[ { "country": "US", "credit": 1 } ]
1601.01339	2016-01-06	2,016	Quality Adaptive Low-Rank Based JPEG Decoding with Applications	2	cs.CV	[ "cs.CV" ]	true	true	core_ml	vision	[ "jpeg decoding", "compression artifacts", "image restoration", "low-rank", "deblurring", "superresolution" ]	false	null	null	null	false	null	false	d7d9a998f61ad2a100c15051d33f66ca3b942b82	3	0	0	245	false	1	[ { "country": "CA", "credit": 1 } ]
1601.01343	2016-01-06	2,016	Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation	4	cs.CL	[ "cs.CL" ]	true	true	llm_nlp	null	[ "named entity disambiguation", "word embedding", "entity embedding", "skip-gram", "knowledge base", "Wikipedia" ]	false	null	null	null	false	null	false	9a501e501a60b431b6031f81dc2c19b390b0aff3	339	64	1	320	false	1	[ { "country": "JP", "credit": 1 } ]
1601.01345	2016-01-06	2,016	An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization	2	stat.ML	[ "stat.ML", "math.ST" ]	true	true	theory	probabilistic	[ "quasi-bayesian aggregation", "non-negative matrix factorization", "oracle inequality", "exponentially weighted aggregate", "gibbs sampler", "blockwise gradient descent" ]	false	null	null	null	false	null	false	3c6bd2fb9a04d89b519595f9690bfe2238698ab1	17	0	0	144	false	1	[ { "country": "FR", "credit": 1 } ]
1601.01356	2016-01-07	2,016	From Word Embeddings to Item Recommendation	1	cs.LG	[ "cs.LG", "cs.CL", "cs.IR", "cs.SI" ]	true	true	retrieval	null	[ "recommendation systems", "word embeddings", "word2vec", "skip-gram", "location based social networks", "check-ins" ]	true	null	null	null	false	null	false	36afff98b0c752221e0ec49aac327f1eff05fe0c	109	4	0	163	false	1	[ { "country": "TR", "credit": 1 } ]
1601.01411	2016-01-07	2,016	Learning Kernels for Structured Prediction using Polynomial Kernel Transformations	2	cs.LG	[ "cs.LG", "stat.ML" ]	true	true	core_ml	null	[ "kernel learning", "structured prediction", "schoenberg transform", "hilbert-schmidt independence criterion", "reproducing kernel hilbert space", "polynomial kernels" ]	false	null	null	null	false	null	false	cd841235c0d4edab7941409336f42f7fbc052776	1	0	0	245	false	1	[ { "country": "US", "credit": 1 } ]
1601.01422	2016-01-07	2,016	Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone	4	cs.CV	[ "cs.CV" ]	true	true	optimization	null	[ "metric learning", "covariance descriptors", "Dykstra algorithm", "positive semi-definite cone", "Bregman projection" ]	false	null	null	null	false	null	false	7d9c8744b15b6ea5010303f290fcd1657c54d932	1	0	0	143	false	1	[ { "country": "JP", "credit": 1 } ]
1601.01431	2016-01-07	2,016	Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis	5	cs.CV	[ "cs.CV" ]	true	true	core_ml	null	[ "probabilistic PCA", "mixture models", "bilateral projection", "2D data", "variational EM", "dimensionality reduction" ]	false	CVPR	2,016	main	true	null	false	52d4982ec40025d34f25fe62f45ccdcbf7e48fe8	4	0	0	245	false	1	[ { "country": "CN", "credit": 0.8 }, { "country": "AU", "credit": 0.2 } ]
1601.01432	2016-01-07	2,016	Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition	5	cs.CV	[ "cs.CV" ]	true	true	core_ml	null	[ "sparse representation", "dictionary learning", "block-diagonal constraint", "low-rank", "recognition" ]	false	null	null	null	false	null	false	106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9	3	0	0	245	false	1	[ { "country": "CN", "credit": 0.8 }, { "country": "AU", "credit": 0.2 } ]
1601.01467	2016-01-07	2,016	On Some Properties of Calibrated Trifocal Tensors	1	cs.CV	[ "cs.CV" ]	true	true	vision	theory	[ "calibrated trifocal tensor", "trifocal essential matrix", "multiview geometry", "polynomial constraints", "camera calibration" ]	false	null	null	null	false	null	false	fcd02a05afa817266c4371a0a7153dbedf0ca8e6	14	0	0	499	false	1	[ { "country": "RU", "credit": 1 } ]
1601.01492	2016-01-07	2,016	Complexity of Shift Bribery in Committee Elections	4	cs.AI	[ "cs.AI", "cs.GT" ]	true	true	theory	other	[ "shift bribery", "multiwinner elections", "computational complexity", "committee elections", "parameterized complexity", "Chamberlin-Courant rule" ]	false	AAAI	2,016	main	true	null	false	84b16c3904dcad5fe09cda4f31bb90bc7f67959b	50	1	0	144	false	1	[ { "country": "DE", "credit": 0.75 }, { "country": "PL", "credit": 0.25 } ]
1601.01507	2016-01-07	2,016	Fast Kronecker product kernel methods via generalized vec trick	2	stat.ML	[ "stat.ML", "cs.LG" ]	true	false	core_ml	graphs	[ "kronecker product kernels", "vec trick", "zero-shot learning", "kernel ridge regression", "pair-input data", "support vector machines" ]	false	null	null	null	false	null	false	471fb2360d401801421e2074efe62530288b19d2	27	1	0	245	false	0	[]

End of preview. Expand in Data Studio

researchmap.ai

Every AI paper posted to arXiv since 2016, with where its authors work. For each of 647,565 papers in cs.AI, cs.LG, cs.CL, cs.CV, cs.NE, cs.RO, cs.MA and stat.ML, the dataset gives its authors' institutions and countries, its subfield, whether it appeared at one of 18 top conferences, and its citations. It is the data behind researchmap.ai, which maps where AI research is done.

Site and method: researchmap.ai
Covers: papers through 29 October 2026, citations as of 27 October 2026

Configs

Config	Rows	One row per
`papers` (default)	647,842	harvested paper
`authorships`	3,462,906	paper × author × affiliation
`institutions`	15,590	institution on at least one listing
`references`	5,505,833	reference from one paper in the dataset to another
`countries`	2,180	country × year, 2016–2025
`us_university_rd`	6,200	US university × year, 2016–2025

The configs join on paper_id and institution_id (a ROR ID). A null means there is no value. Each table is also a gzipped CSV; 128.0 MB of Parquet in all.

How it was built

Papers. Every paper first posted to arXiv since 1 January 2016 in those categories, as primary category or cross-list, from arXiv's OAI-PMH interface.
Affiliations. Claude Haiku 5.5 read each paper's first page and listed every author's affiliations as printed. An affiliation that doesn't appear in the page text is dropped.
Institutions and countries. Affiliations are matched to the Research Organization Registry and placed in the country the paper prints, so a lab counts where it is, not where its company has its headquarters.
Credit. Each paper counts once, split equally among its authors and then between each author's first two affiliations. 5.7% of the credit can't be placed in a country.
Layers. One of 20 subfields from the title and abstract (the same model); the main track of 18 conferences from official proceedings (DBLP and the conferences' own lists); citations and references from Semantic Scholar, with highly cited meaning the top 10% of a year and subfield; population, GDP and R&D from the World Bank, the OECD and NSF.

Fields

The main columns. The Hub's viewer shows every column and its type.

Column	Meaning
`papers.year`, `published`	year of the arXiv ID, which the site counts; date version 1 was submitted
`papers.subfield`, `subfield_2`	main subfield of 20, and a second one when the paper clearly has one
`papers.venue`, `track`, `main_conference`	the top conference and track that published the paper
`papers.code_or_project_url`, `code`	the first code or project link on page 1, and whether it is a code host
`papers.citations`, `highly_cited`	Semantic Scholar citations; 1 for the top 10% of the year and subfield, a share for ties
`papers.countries`, `credit_placed`	the paper's credit by country, and how much of it is placed
`authorships.affiliation`, `institution_id`	the affiliation as printed, and the ROR record it matched
`authorships.country`, `places`	the country, and where the credit goes (split for a multinational that prints no place)
`authorships.sector`	`academia`, `industry` or `independent`
`authorships.counted`, `credit`	one of the author's first two affiliations, and its share of the paper

Countries are ISO codes for where an affiliation is, never anyone's nationality. Hong Kong and Taiwan are kept as papers print them.

Load

from datasets import load_dataset

papers = load_dataset("ArtKanke/researchmap.ai", "papers", split="train")
authorships = load_dataset("ArtKanke/researchmap.ai", "authorships", split="train")

Example paper (rTaste)

Field	Value
`paper_id`, `year`, `published`	`2610.40488`, 2026, 2026-10-29
`primary_category`, `n_authors`	`cs.CL`, 1
`subfield`, `subfield_2`	`agents`, `llm_nlp`
`code`	true: page 1 links to the code
`authorships`	one row: University of Minnesota (`017zqws13`), `US`, `academia`, credit 1.0
`countries`, `credit_placed`	`[{country: US, credit: 1.0}]`, 1.0
`venue`, `citations`	null: too new for a conference list or the monthly citation refresh

License

CC BY 4.0.

Cite

@misc{kanke2026researchmap,
  author = {Kanke, Art},
  title = {researchmap.ai: arXiv AI papers by institution and country},
  year = {2026},
  url = {https://huggingface.co/datasets/ArtKanke/researchmap.ai}
}

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