hunoutl/paperlists huggingface dataset:
Title: Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
Authors: Hongda Sun, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: nips 2022 (main track)
Keywords: Drug recommendation;Causal inference
Decision: Poster
Title: Local-Global MCMC kernels: the best of both worlds
Authors: Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines
Affiliations: HSE University; ENS Paris-Saclay; Ecole Polytechnique
Conference: nips 2022 (main track)
Keywords: MCMC;Markov chains;adaptive MCMC
Decision: Poster
Title: Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Authors: Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
Affiliations: The Chinese University of Hong Kong, Shenzhen, China; University of Minnesota, Twin Cities, Minneapolis, MN, USA; Texas A&M University, College Station, TX, USA
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Inverse Reinforcement Learning
Decision: Poster
Title: TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Authors: yongwei chen, chen rui, Jiabao Lei, Yabin Zhang, Kui Jia
Affiliations: South China University of Technology, Peng Cheng Laboratory; South China University of Technology; The Hong Kong Polytechnic University; South China University of Technology, DexForce Co. Ltd.
Conference: nips 2022 (main track)
Keywords: 3D content creation;CLIP;Text-to-3D
Decision: Poster
Title: Biologically plausible solutions for spiking networks with efficient coding
Authors: Veronika Koren, Stefano Panzeri
Affiliations: Department of Excellence for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Falkenried 94, 20251 Hamburg, Germany; Istituto Italiano di Tecnologia, Genoa, Italy; Department of Excellence for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Falkenried 94, 20251 Hamburg, Germany
Conference: nips 2022 (main track)
Keywords: spiking neural networks;optimization;loss function;information;population code;E-I network;Generalized leaky integrate-and-fire (LIF) neuron;biological constraints
Decision: Poster
Title: Grow and Merge: A Unified Framework for Continuous Categories Discovery
Authors: Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao
Affiliations: THUIBCS, BLBCI, Tsinghua University; BNRist, KLISS, School of Software, Tsinghua University; Alibaba Group
Conference: nips 2022 (main track)
Keywords: Novel Category Discovery;Incremental Learning;Continuous Learning
Decision: Poster
Title: Object Scene Representation Transformer
Authors: Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas Guibas, Klaus Greff, Thomas Kipf
Affiliations: Google Research
Conference: nips 2022 (main track)
Keywords: novel view synthesis;scene decomposition;transformer;slot attention;unsupervised decomposition;representation learning;neural rendering;scene representations
Decision: Poster
Title: Training stochastic stabilized supralinear networks by dynamics-neutral growth
Authors: Wayne Soo, Mate Lengyel
Affiliations: Department of Engineering, University of Cambridge; Department of Cognitive Science, Central European University; Department of Engineering, University of Cambridge
Conference: nips 2022 (main track)
Keywords: cortical circuit;visual cortex;recurrent neural network;stabilized supralinear network;Gaussian scale mixture;Bayesian inference;Markov chain Monte Carlo
Decision: Poster
Title: Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Authors: Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
Affiliations: Department of Computer Science and Engineering, Pennsylvania State University; Joint Center for Quantum Information and Computer Science, Department of Computer Science, Institute for Advanced Computer Studies, University of Maryland; Simons Institute, Department of Mathematics, UC Berkeley; Department of Computer Science, The University of Texas at Austin; Center on Frontiers of Computing Studies, School of Computer Science, Peking University
Conference: nips 2022 (main track)
Keywords: Quantum computing;logconcave sampling;normalizing constants;MCMC methods
Decision: Poster
Title: Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Authors: Bang An, Zora Che, Mucong Ding, Furong Huang
Affiliations: Department of Computer Science, Boston University; Department of Computer Science, University of Maryland, College Park
Conference: nips 2022 (main track)
Keywords: Fairness;Distribution Shifts;Self-training;Transfer Learning
Decision: Poster
Title: u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality
Authors: Wei-Ning Hsu, Bowen Shi
Affiliations: Meta AI
Conference: nips 2022 (main track)
Keywords: multimodal speech;audio-visual speech;multimodal self-supervised learning;zero-shot;speech recognition;speech translation
Decision: Poster
Title: Mask Matching Transformer for Few-Shot Segmentation
Authors: siyu jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Honghui Shi
Affiliations: Picsart AI Research (PAIR); AAII, University of Technology Sydney; Institute of Information Science, Beijing Jiaotong University
Conference: nips 2022 (main track)
Keywords: Few-Shot Segmentation;Transformer
Decision: Poster
Title: Sustainable Online Reinforcement Learning for Auto-bidding
Authors: Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng
Affiliations: Alibaba Group, Beijing, China; Department of Automation, Tsinghua University, Beijing, China; Alibaba Group, Beijing, China
Conference: nips 2022 (main track)
Keywords: online reinforcement learning;offline RL;auto-bidding
Decision: Poster
Title: BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Authors: Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
Affiliations: DAMO Academy, Alibaba Group, China; Wangxuan Institute of Computer Technology, Peking University, China; DAMO Academy, Alibaba Group, China/Shenzhen Campus of Sun Yat-sen University, China
Conference: nips 2022 (main track)
Keywords: 3D Object Detection;bird's eye view perception;camera-lidar fusion
Decision: Poster
Title: Affinity Clustering: Hierarchical Clustering at Scale
Authors: Mohammadhossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Raimondas Kiveris, Silvio Lattanzi, Vahab Mirrokni
Conference: nips 2017 (main track)
Decision: Poster
Title: Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis
Authors: Jian Zhao, Lin Xiong, Panasonic Karlekar Jayashree, Jianshu Li, Fang Zhao, Zhecan Wang, Panasonic Sugiri Pranata, Panasonic Shengmei Shen, Shuicheng Yan, Jiashi Feng
Conference: nips 2017 (main track)
Decision: Poster
Title: EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms
Authors: Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent M Berry, Benjamin Brinkmann, Gregory Worrell, Ravishankar Iyer
Conference: nips 2017 (main track)
Decision: Poster
Title: Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Authors: Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi
Conference: nips 2017 (main track)
Decision: Poster
Title: Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Authors: Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J Pai, Naveen Rao
Conference: nips 2017 (main track)
Decision: Poster
Title: Imagination-Augmented Agents for Deep Reinforcement Learning
Authors: Sébastien Racanière, Theophane Weber, David Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra
Conference: nips 2017 (main track)
Decision: Oral
Title: Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Authors: Kristofer Bouchard, Alejandro Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Mr. Prabhat, Antoine Snijders, Jian-Hua Mao, Edward Chang, Michael W Mahoney, Sharmodeep Bhattacharya
Conference: nips 2017 (main track)
Decision: Poster
Title: YASS: Yet Another Spike Sorter
Authors: Jin Hyung Lee, David Carlson, Hooshmand Shokri Razaghi, Weichi Yao, Georges A Goetz, Espen Hagen, Eleanor Batty, E.J. Chichilnisky, Gaute T. Einevoll, Liam Paninski
Conference: nips 2017 (main track)
Decision: Poster
Title: Private Non-smooth ERM and SCO in Subquadratic Steps
Authors: Janardhan Kulkarni, Yin Tat Lee, Daogao Liu
Affiliations: University of Washington and Microsoft Research; University of Washington; Algorithms Group, Microsoft Research (MSR) Redmond
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Stochastic convex optimization;Empirical risk minimization
Decision: Spotlight
Title: ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Authors: Patrick Esser, Robin Rombach, Andreas Blattmann, Bjorn Ommer
Affiliations: Ludwig Maximilian University of Munich & IWR, Heidelberg University, Germany
Conference: nips 2021 (main track)
Keywords: Image Synthesis;Autoregressive Models;Diffusion Probabilistic Models;Transformers;Generative Models
Decision: Poster
Title: SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Authors: Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang
Affiliations: Baidu; Peking University; Tencent; Microsoft
Conference: nips 2021 (main track)
Keywords: billion-scale;vector search;inverted index solution
Decision: Spotlight
Title: Variational Multi-Task Learning with Gumbel-Softmax Priors
Authors: Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao
Affiliations: AIM Lab, University of Amsterdam, Netherlands; Inception Institute of Artiﬁcial Intelligence, Abu Dhabi, UAE; 1AIM Lab, University of Amsterdam, Netherlands; 2Inception Institute of Artiﬁcial Intelligence, Abu Dhabi, UAE
Conference: nips 2021 (main track)
Keywords: Multi-task learning;Variational inference;Gumbel-softmax
Decision: Poster
Title: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Authors: Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt
Affiliations: Department of Computer Science, University of California, Irvine; Department of Statistics, University of California, Irvine
Conference: nips 2021 (main track)
Keywords: Bayesian online learning;change detection;non-stationary continual learning
Decision: Poster
Title: Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Authors: Shasha Li, Abhishek Aich, Shitong Zhu, Salman Asif, Chengyu Song, Amit Roy-Chowdhury, Srikanth Krishnamurthy
Affiliations: University of California, Riverside, CA, USA
Conference: nips 2021 (main track)
Keywords: adversarial machine learning;black-box adversarial attack
Decision: Poster
Title: The Many Faces of Adversarial Risk
Authors: Muni Sreenivas Pydi, Varun Jog
Affiliations: University of Cambridge, Cambridge, UK; University of Wisconsin - Madison, Madison, Wisconsin, USA
Conference: nips 2021 (main track)
Keywords: Adversarial risk;robustness;optimal transport;game theory;Nash equilibrium;2-alternating capacities;Strassen's theorem;measurable selection theorem;Wasserstein distance;robust statistics
Decision: Poster
Title: REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
Authors: Mihai Fieraru, Mihai Zanfir, Teodor Szente, Eduard Bazavan, Vlad Olaru, Cristian Sminchisescu
Affiliations: Google Research, Lund University; Institute of Mathematics of the Romanian Academy; Google Research, Institute of Mathematics of the Romanian Academy; Google Research
Conference: nips 2021 (main track)
Keywords: human;pose;shape;reconstruction;3d;people;transformer;mesh
Decision: Poster
Title: ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Authors: Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan
Conference: nips 2021 (main track)
Keywords: articulated shape from videos;nonrigid shape reconstruction;dense correspondence;differentiable rendering
Decision: Spotlight
Title: Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Authors: Chaoqun Wang, Shaobo Min, Xuejin Chen, Xiaoyan Sun, Houqiang Li
Affiliations: School of Data Science, The National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, Anhui, China; Tencent Data Platform, Shenzhen, Guangdong, China
Conference: nips 2021 (main track)
Keywords: generalized zero-shot learning;progressive prototypes
Decision: Poster
Title: Towards Sample-efficient Overparameterized Meta-learning
Authors: Yue Sun, Adhyyan Narang, Ibrahim Gulluk, Samet Oymak, Maryam Fazel
Affiliations: University of California, Riverside; University of Washington; Bogazici University
Conference: nips 2021 (main track)
Keywords: Meta learning;Representation learning;Overparameterization
Decision: Poster
Title: What Matters for Adversarial Imitation Learning?
Authors: Manu Orsini, Anton Raichuk, Leonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
Affiliations: Univ. de Lille, CNRS, Inria Scool, UMR 9189 CRIStAL; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: imitation learning;GAIL;continuous control
Decision: Poster
Title: Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Authors: Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
Affiliations: Department of Mathematics and Department of Electrical and Computer Engineering, Technical University of Munich; Department of Mathematics, KU Eichstätt–Ingolstadt; Department of Applied Mathematics & Statistics, Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: compressed sensing;sparse models;signal processing;iteratively reweighted least squares;convex optimization;linear convergence
Decision: Spotlight
Title: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Authors: Christian Gumbsch, Martin V. Butz, Georg Martius
Affiliations: Autonomous Learning Group, Max Planck Institute for Intelligent Systems, Tübingen, Germany; Neuro-Cognitive Modeling Group, University of Tübingen, Tübingen, Germany; Autonomous Learning Group, Max Planck Institute for Intelligent Systems & Neuro-Cognitive Modeling Group, University of Tübingen, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: recurrent neural networks;partial observability;sparsity;explainability;generalization;model-based planning;reinforcement learning
Decision: Poster
Title: Latent Matters: Learning Deep State-Space Models
Authors: Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt
Affiliations: Eötvös Loránd University; Machine Learning Research Lab, Volkswagen Group, Munich; Technical University of Munich
Conference: nips 2021 (main track)
Keywords: variational inference;latent-variable models;state-space models;deep state-space models;Bayesian filtering and smoothing;empirical Bayes;constrained optimisation
Decision: Poster
Title: Active Learning of Convex Halfspaces on Graphs
Authors: Maximilian Thiessen, Thomas Gaertner
Affiliations: Research Unit of Machine Learning, TU Wien, Vienna, Austria
Conference: nips 2021 (main track)
Keywords: active learning;learning theory;semi-supervised learning;transduction;vertex classification;graphs;convexity theory;geodesic convexity;shortest paths;halfspaces;query complexity
Decision: Poster
Title: Sparse is Enough in Scaling Transformers
Authors: Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin, LUKASZ KAISER, Wojciech Gajewski, Henryk Michalewski, Jonni Kanerva
Affiliations: University of Warsaw; OpenAI; Google Research
Conference: nips 2021 (main track)
Keywords: machine learning;transformers;sparsity;scaling
Decision: Poster
Title: Out-of-Distribution Generalization in Kernel Regression
Authors: Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Affiliations: Department of Physics, Harvard University, Cambridge, MA 02138; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
Conference: nips 2021 (main track)
Keywords: kernel regression;generalization;out-of-distribution
Decision: Poster
Title: The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Authors: Mufan Li, Mihai Nica, Dan Roy
Affiliations: University of Guelph, Vector Institute; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: ResNet;infinite-depth-and-width;log-Gaussian;hypoactivation;balanced ResNet
Decision: Poster
Title: Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Authors: Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota
Affiliations: College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003; Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY 13210; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093
Conference: nips 2021 (main track)
Keywords: Support Recovery;Mixtures of Linear Regressions;Mixtures of Linear Classifiers;Sparsity;Low Rank Tensor Decomposition
Decision: Poster
Title: Row-clustering of a Point Process-valued Matrix
Authors: Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Affiliations: Institute of Statistics and Big Data, Renmin University, Beijing, China; University of Miami, Coral Gables, Florida; Department of Statistics, Texas A&M University, College Station, Texas
Conference: nips 2021 (main track)
Keywords: Expectation-Solution Algorithm;Functional Principal Component Analysis;Marked Point Processes;Model-based Clustering;Semiparametric Model
Decision: Poster
Title: Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Authors: Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Affiliations: Harvard University, Cambridge, MA; The Ohio State University, Columbus, OH
Conference: nips 2021 (main track)
Keywords: Optimization;predict-then-optimize;decision-focused learning;differentiable optimization;reinforcement learning;MDP;low-rank approximation;Woodbury matrix identity;KKT conditions;optimality conditions;sequential decision problems
Decision: Spotlight
Title: Learning Causal Semantic Representation for Out-of-Distribution Prediction
Authors: Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
Affiliations: Peking University, Beijing, 100871.; Microsoft Research Asia, Beijing, 100080.; Tsinghua University, Beijing, 100084.
Conference: nips 2021 (main track)
Keywords: causal representation learning;out-of-distribution generalization;generative model;variational auto-encoder;variational inference;domain adaptation
Decision: Poster
Title: Learning Debiased Representation via Disentangled Feature Augmentation
Authors: Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo
Affiliations: KAIST AI, South Korea; KAIST AI, Kakao Enterprise, South Korea; Kakao Enterprise, South Korea
Conference: nips 2021 (main track)
Keywords: Debiasing;Disentangled representation;Feature-level augmentation;Image classification
Decision: Oral
Title: Dynamic Bottleneck for Robust Self-Supervised Exploration
Authors: Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Affiliations: Tianjin University; Tencent Robotics X; Northwestern University; University of Toronto, Vector Institute, NVIDIA; Harbin Institute of Technology
Conference: nips 2021 (main track)
Keywords: Dynamic Bottleneck;Information Bottleneck;Exploration;Reinforcement Learning
Decision: Poster
Title: Soft Calibration Objectives for Neural Networks
Authors: Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael Mozer, Becca Roelofs
Affiliations: Google Research
Conference: nips 2021 (main track)
Keywords: calibration;uncertainty;reliable machine learning
Decision: Poster
Title: Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Affiliations: Facebook AI Research; Simon Fraser University; Facebook AI Research, Cornell University; Facebook AI Research, UT Austin; Facebook AI Research, Georgia Tech
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Dataset;Embodied AI;Navigation
Decision: Poster
Title: The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation
Affiliations: Department of Biomedical Engineering, Duke University, Durham, NC 27708; Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Animal Behavior;Pose Estimation;Multi-agent;Dataset;Motion Capture
Decision: Poster
Title: The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Authors: Yu-Chia Chen, Marina Meila
Affiliations: Electrical & Computer Engineering, University of Washington, Seattle, WA 98195; Department of Statistics, University of Washington, Seattle, WA 98195
Conference: nips 2021 (main track)
Keywords: homology embedding;Hodge Laplacian;unsupervised learning;spectral method;topological data analysis
Decision: Oral
Title: GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Authors: Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
Affiliations: University of Maryland; Google Research
Conference: nips 2021 (main track)
Keywords: Initialization;Transformers;Convolutional Networks
Decision: Poster
Title: Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Authors: Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
Affiliations: ECE Department, The University of Texas at Austin; EECS Department, Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: meta-learning theory;generalization bounds;algorithmic stability;convex optimization
Decision: Poster
Title: Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Authors: Tolga Birdal, Aaron Lou, Leonidas Guibas, Umut Simsekli
Affiliations: Stanford University; INRIA & ENS – PSL Research University
Conference: nips 2021 (main track)
Keywords: generalization;persistent homology;intrinsic dimension;deep networks
Decision: Poster
Title: Universal Off-Policy Evaluation
Authors: Yash Chandak, Scott Niekum, Bruno da Silva, Erik Learned-Miller, Emma Brunskill, Philip Thomas
Affiliations: Stanford University; University of Texas Austin; University of Massachusetts
Conference: nips 2021 (main track)
Keywords: metrics;distribution;CDF;off-policy evaluation;OPE;reinforcement learning;counterfactuals;high-confidence bounds;confidence intervals
Decision: Poster
Title: Adaptive Denoising via GainTuning
Authors: Sreyas Mohan, Joshua L Vincent, Ramon Manzorro, Peter Crozier, Carlos Fernandez-Granda, Eero Simoncelli
Affiliations: Center For Data Science, NYU; Courant Institute of Mathematical Sciences, NYU; School for Engineering of Matter, Transport and Energy, ASU; Courant Institute of Mathematical Sciences, NYU and Center for Neural Science, NYU and Flatiron Institute, Simons Foundation
Conference: nips 2021 (main track)
Keywords: denoising;adaptation;out of distribution;generalization;gain
Decision: Poster