hunoutl/paperlists huggingface dataset:
Title: Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
Authors: Shangshu Qian, Viet Hung Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah
Affiliations: University of Waterloo, Waterloo, ON, Canada; Purdue University, West Lafayette, IN, USA; J. P. Morgan AI Research, New York, NY, USA; University of Waterloo, Vector Institute
Conference: nips 2021 (main track)
Keywords: DL software implementation;fairness variance;empirical study
Decision: Poster
Title: Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Authors: Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan Nagarajan, Stefan Haufe
Affiliations: BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.; National Engineering Research Center for E-Learning, Central China Normal University, China.; Uncertainty, Inverse Modeling and Machine Learning Group, Technische Universität Berlin, Germany.; Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Conference: nips 2021 (main track)
Keywords: Multi-task Linear Regression;Hierarchical Bayesian Learning;Type-II Maximum-Likelihood Inference;Nonconvex Optimization;Majorization Minimization;Riemannian Geometry;Toeplitz;Circulant Embedding;Sparse Bayesian Learning;Sparse Models;Sparse Regression;Compressed Sensing;Sparse Denoising;Neuroimaging;EEG/MEG;Brain Source Imaging
Decision: Poster
Title: SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Affiliations: Carnegie Mellon University; Shanghai Jiao Tong University; Shanghai Jiao Tong University, Carnegie Mellon University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Monocular Depth Prediction;Long-term Visual Perception and Localization;Dataset and Benchmark
Decision: Reject
Title: S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Authors: Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing XU, Vahid Partovi Nia
Affiliations: Cheriton School of Computer Science, University of Waterloo; Noah’s Ark Lab, Huawei Technologies; Department of Computer Science and Operations Research (DIRO), University of Montreal
Conference: nips 2021 (main track)
Keywords: Convolution Neural Network;CNN;Edge Computing;Edge;Quantization;Low-bit;Multiplication-free;Bit-shift
Decision: Poster
Title: DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Authors: Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
Affiliations: UCLA, University of Washington; UCLA; Tsinghua University
Conference: nips 2021 (main track)
Keywords: vision transformer;deep model acceleration
Decision: Poster
Title: Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Authors: Yuhui Quan, Zicong Wu, Hui Ji
Affiliations: School of Computer Science and Engineering, South China University of Technology; Department of Mathematics, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Defocus Deblurring;Deep Learning;Image Recovery;Unrolling;Attention
Decision: Poster
Title: Controlled Text Generation as Continuous Optimization with Multiple Constraints
Authors: Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA; Google Research
Conference: nips 2021 (main track)
Keywords: controllable text generation;constrained optimization;style transfer
Decision: Poster
Title: On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Authors: Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu
Affiliations: Cognitive Computing Lab, Baidu Research; Department of Neuroscience, UT Austin; Department of Statistics, UCLA; Now a Research Scientist at Google Brain team; Department of Statistics, UCLA; Department of Statistics, UCLA; Department of Computer Science, UCLA; Beijing Institute for General Artiﬁcial Intelligence (BIGAI)
Conference: nips 2021 (main track)
Keywords: grid cell;representation learning;path integration;place cell;recurrent network;matrix Lie group
Decision: Poster
Title: Controllable and Compositional Generation with Latent-Space Energy-Based Models
Authors: Weili Nie, Arash Vahdat, Anima Anandkumar
Affiliations: NVIDIA; Caltech, NVIDIA
Conference: nips 2021 (main track)
Keywords: Controllable generation;compositional generation;image synthesis;energy-based models;deep generative models;neural ODEs
Decision: Poster
Title: Data Augmentation Can Improve Robustness
Authors: Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A Mann
Affiliations: DeepMind, London
Conference: nips 2021 (main track)
Keywords: robustness;adversarial;augmentation
Decision: Poster
Title: Stylized Dialogue Generation with Multi-Pass Dual Learning
Authors: Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu
Affiliations: Wangxuan Institute of Computer Technology, Peking University, Beijing, China; Institute for Artiﬁcial Intelligence, Peking University, Beijing, China; Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; Microsoft Research Asia, Beijing, China
Conference: nips 2021 (main track)
Keywords: Dual learning;Stylized dialogue generation;TCFC;SDGC
Decision: Poster
Title: Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Authors: Tobias Sutter, Andreas Krause, Daniel Kuhn
Affiliations: ETH Zurich, Switzerland; University of Konstanz, Germany; EPFL, Switzerland
Conference: nips 2021 (main track)
Keywords: Distributionally robust optimization;distribution shift;stochastic programming;large deviations
Decision: Poster
Title: Dueling Bandits with Adversarial Sleeping
Authors: Aadirupa Saha, Pierre Gaillard
Affiliations: Microsoft Research, New York, US; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: Online;bandit;dueling;preference;stochastic;adversarial;sleeping;optimal;regret;lower bound
Decision: Poster
Title: Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Authors: Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Affiliations: Duke University; KAUST
Conference: nips 2021 (main track)
Keywords: imbalanced data learning;causal representation learning;rare-event modeling;contrastive learning
Decision: Spotlight
Title: Supervising the Transfer of Reasoning Patterns in VQA
Authors: Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri
Affiliations: Orange Innovation, France; LIRIS, INSA-Lyon, France; LAGEPP, Université de Lyon, France
Conference: nips 2021 (main track)
Keywords: Visual Question Answering;Visual Reasoning;Deep Learning
Decision: Poster
Title: Towards Efficient and Effective Adversarial Training
Authors: Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R
Affiliations: Video Analytics Lab, Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;Adversarial Defense;Adversarial Training;Fast Adversarial Training;Efficient Adversarial Training;Single-Step Adversarial Training
Decision: Poster
Title: CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
Authors: Alek Dimitriev, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2021 (main track)
Keywords: Discrete latent variables;gradient estimation;antithetic;unbiased;low variance;probabilistic modeling;variational autoencoder;copula
Decision: Poster
Title: XCiT: Cross-Covariance Image Transformers
Authors: Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Herve Jegou
Affiliations: Facebook AI; Inria; Sorbonne University
Conference: nips 2021 (main track)
Keywords: deep learning;neural networks;image classification;image segmentation;object detection;transformer
Decision: Poster
Title: Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Authors: Adarsh Barik, Jean Honorio
Affiliations: Department of Computer Science, Purdue University, West Lafayette, Indiana, USA
Conference: nips 2021 (main track)
Keywords: Fairness;Invexity;Combinatorial Optimization;Primal Dual Witness Method
Decision: Spotlight
Title: Exponential Graph is Provably Efficient for Decentralized Deep Training
Authors: Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, PAN PAN, Wotao Yin
Affiliations: University of California, Los Angeles; University of California, Santa Barbara; DAMO Academy, Alibaba Group
Conference: nips 2021 (main track)
Keywords: Decentralized optimization;distributed and parallel algorithms;stochastic optimization;deep learning
Decision: Poster
Title: Domain Invariant Representation Learning with Domain Density Transformations
Authors: A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin
Affiliations: University of Oxford, Oxford, United Kingdom; VinAI Research, Hanoi, Vietnam; University of Oxford; VinAI Research, Oxford, United Kingdom
Conference: nips 2021 (main track)
Keywords: domain generalization;domain invariant representation
Decision: Poster
Title: Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Authors: Qitian Wu, Chenxiao Yang, Junchi Yan
Affiliations: Department of Computer Science and Engineering, MoE Key Lab of Artiﬁcial Intelligence, AI Institute, Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: Open-World Extrapolation;Graph Representation Learning;Feature Embedding Learning;Graph Neural Networks
Decision: Poster
Title: Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering
Authors: Weijiang Yu, Haoteng Zheng, Mengfei Li, Lei Ji, Lijun Wu, Nong Xiao, Nan Duan
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Microsoft Research Asia
Conference: nips 2021 (main track)
Keywords: Video Question Answering;Multi-view Learning;Data-effeciency Reasoning
Decision: Poster
Title: Escape saddle points by a simple gradient-descent based algorithm
Authors: 张辰逸
Affiliations: Center on Frontiers of Computing Studies, Peking University, China; School of Computer Science, Peking University, China; Center for Theoretical Physics, Massachusetts Institute of Technology, USA; Institute for Interdisciplinary Information Sciences, Tsinghua University, China
Conference: nips 2021 (main track)
Keywords: saddle points;gradient descent;stochastic optimization;nonconvex optimization;negative curvature finding
Decision: Poster
Title: Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
Authors: Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint
Affiliations: Machine Learning and Robotics Lab, University of Stuttgart, Germany; Learning and Intelligent Systems Group, TU Berlin, Germany
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Planning;Robotics
Decision: Poster
Title: Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Authors: Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, Jianlong Fu
Affiliations: Microsoft Research Asia; School of Computer Science and Engineering, Sun Yat-sen University; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; University of Tokyo
Conference: nips 2021 (main track)
Keywords: GAN;Transformer;Image Synthesis;Visual Token
Decision: Poster
Title: Generalization Guarantee of SGD for Pairwise Learning
Authors: Yunwen Lei, Mingrui Liu, Yiming Ying
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030, USA; School of Computer Science, University of Birmingham, Birmingham B15 2TT, United Kingdom; Department of Mathematics and Statistics, State University of New York at Albany, USA
Conference: nips 2021 (main track)
Keywords: Pairwise Learning;Algorithmic Stability;Generalization;SGD
Decision: Poster
Title: Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Authors: Đ.Khuê Lê-Huu, Karteek Alahari
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: mean field;frank-wolfe;conditional gradient;crfs;mrfs;conditional random fields;markov random fields;map inference;semantic segementation
Decision: Poster
Title: Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Authors: Jagdeep Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, Wojciech Matusik
Affiliations: MIT CSAIL
Conference: nips 2021 (main track)
Keywords: Co-design;Benchmark;Soft Robotics;Evolutionary Algorithms;Reinforcement Learning;Machine Learning
Decision: Poster
Title: Private and Non-private Uniformity Testing for Ranking Data
Authors: Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis
Affiliations: Google Research, New York, USA; University of California, Berkeley, USA; National Technical University of Athens, Greece
Conference: nips 2021 (main track)
Keywords: uniformity testing;Mallows model;ranking
Decision: Poster
Title: Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
Authors: Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Science & Technology of China, Microsoft Research Asia; University of Washington, Microsoft Research Asia
Conference: nips 2021 (main track)
Keywords: Information-theoretical Bound;Optimal Noise Covariance;SGLD
Decision: Poster
Title: Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
Authors: Orestis Papadigenopoulos, Constantine Caramanis
Affiliations: Department of Computer Science, The University of Texas at Austin; Electrical and Computer Engineering, The University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: non-stationary;multi-armed;bandits;blocking;regret;submodular;welfare;maximization;approximation
Decision: Poster
Title: Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Authors: Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab Mirrokni, Jann Spiess, guido imbens
Affiliations: Google Research, New York, NY 10011; Stanford GSB, Stanford, CA 94305
Conference: nips 2021 (main track)
Keywords: experimental design;synthetic control;causal inference
Decision: Poster
Title: Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Authors: Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
Affiliations: Zhejiang University, Alibaba-Zhejiang University Joint Institute of Frontier Technologies; National University of Singapore; Zhejiang University; Central South University
Conference: nips 2021 (main track)
Keywords: Knowledge distillation;Out-of-domain data;Patch learning
Decision: Poster
Title: Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Authors: Dominic Gonschorek, Larissa Höfling, Klaudia P. Szatko, Katrin Franke, Timm Schubert, Benjamin Dunn, Philipp Berens, David Klindt, Thomas Euler
Affiliations: Norwegian University of Science and Technology; University of Tübingen
Conference: nips 2021 (main track)
Keywords: systems neuroscience;inter-experimental variability;cell type classification;retina;domain adaptation;autoencoder;adversarial optimization
Decision: Spotlight
Title: Techniques for Symbol Grounding with SATNet
Authors: Sever Topan, David Rolnick, Xujie Si
Affiliations: McGill University, NVIDIA; McGill University, Mila – Quebec AI Institute, CIFAR AI Research Chair
Conference: nips 2021 (main track)
Keywords: Symbol Grounding;MAXSAT;Neurosymbolic Reasoning;Self-Supervision;Visual Reasoning;SATNet
Decision: Spotlight
Title: Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Authors: Yizhen Zhang, Minkyu Choi, Kuan Han, Zhongming Liu
Affiliations: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109
Conference: nips 2021 (main track)
Keywords: language learning;visual grounding;visual relational reasoning;cross-modal contrastive learning;grounded cognition
Decision: Poster
Title: Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Authors: Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; MIT CSAIL and HKU; HKU; MIT-IBM Watson AI Lab; MIT CSAIL
Conference: nips 2021 (main track)
Keywords: dynamic visual reasoning;differentiable physics;concept learning
Decision: Poster
Title: Neural Relightable Participating Media Rendering
Authors: Quan Zheng, Gurprit Singh, Hans-peter Seidel
Affiliations: Max Planck Institute for Informatics, 66123 Saarbrücken, Germany; Max Planck Institute for Informatics, 66123 Saarbrücken, Germany; Institute of Software, Chinese Academy of Sciences, 100190 Beijing, China
Conference: nips 2021 (main track)
Keywords: Neural rendering;Neural representation;Participating media;Volume Rendering;Relighting
Decision: Poster
Title: Ensembling Graph Predictions for AMR Parsing
Authors: Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam Nguyen, Dzung Phan, Vanessa Lopez, Ramon Fernandez Astudillo
Affiliations: IBM Research, Dublin, Ireland; IBM Research, Thomas J. Watson Research Center, Yorktown Heights, USA
Conference: nips 2021 (main track)
Keywords: Abstract Meaning Representation;Graph ensemble;Deep Learning;Natural Language Processing
Decision: Poster
Title: Offline Model-based Adaptable Policy Learning
Authors: Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei Qin, Wenjie Shang, Jieping Ye
Affiliations: National Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China; AI Labs, Didi Chuxing
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning
Decision: Poster
Title: Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Authors: Antoine Bodin, Nicolas Macris
Affiliations: Communication Theory Laboratory, School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne
Conference: nips 2021 (main track)
Keywords: Random Feature Model;Gradient Flow;Gradient Descent;Double Descent;Epoch-wise Double Descent;Random Matrix;Linear Pencil;Cauchy Integrals;High-dimensional Limits;Stieltjes Transform
Decision: Poster
Title: An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Authors: Xin Liu, Bin Li, Pengyi Shi, Lei Ying
Affiliations: Purdue University; Pennsylvania State University; University of Michigan, Ann Arbor
Conference: nips 2021 (main track)
Keywords: stochastic linear bandits;general constraints;pessimistic-optimistic algorithm
Decision: Poster
Title: Predicting Event Memorability from Contextual Visual Semantics
Authors: Qianli Xu, Fen Fang, Ana Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim
Affiliations: Institute for Infocomm Research, A*STAR; Nanyang Technological University, Singapore; Institute for Infocomm Research, A*STAR, Singapore; ByteDance AI Lab, Singapore; Institute of High Performance Computing, A*STAR, Singapore
Conference: nips 2021 (main track)
Keywords: Event memory;image memorability;visual semantics;episodic memory;lifelog
Decision: Poster
Title: A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Authors: Shih-Yang Su, Frank Yu, Michael Zollhoefer, Helge Rhodin
Affiliations: Facebook Reality Labs; University of British Columbia
Conference: nips 2021 (main track)
Keywords: neural scene presentation;3D human modeling;pose estimation;character animation
Decision: Poster
Title: INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Authors: Shuwen Liu, Bernardo Grau, Ian Horrocks, Egor Kostylev
Affiliations: Department of Informatics, University of Oslo; Department of Computer Science, University of Oxford, UK
Conference: nips 2021 (main track)
Keywords: Knowledge Graph Completion;Graph Neural Networks
Decision: Poster
Title: Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
Authors: Tong Chen, Jean Lasserre, Victor Magron, Edouard Pauwels
Affiliations: LAAS-CNRS, Université de Toulouse, 31400 Toulouse, France; IRIT & IMT, Université de Toulouse, 31400 Toulouse, France; LAAS-CNRS & IMT, Université de Toulouse, 31400 Toulouse, France
Conference: nips 2021 (main track)
Keywords: Semialgebraic optimization;deep equilibrium model;robustness certification;Lipschitz constant
Decision: Poster
Title: Exploiting Opponents Under Utility Constraints in Sequential Games
Authors: Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò
Affiliations: Politecnico di Milano; Gran Sasso Science Institute
Conference: nips 2021 (main track)
Keywords: Sequential games;online learning;opponent exploitation
Decision: Poster
Title: Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Authors: Zhenyu Wang, Ya-Li Li, Ye Guo, Shengjin Wang
Affiliations: Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University
Conference: nips 2021 (main track)
Keywords: object detection;semi-supervised learning;semi-supervised object detection
Decision: Poster
Title: Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Authors: Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut Kandemir, Chita Das
Affiliations: Pennsylvania State University
Conference: nips 2021 (main track)
Keywords: LSTM;TRAINING;DROPOUT;STRUCTURED;SPARSITY
Decision: Poster
Title: A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Authors: Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang
Affiliations: Nanjing University of Science and Technology; State Key Lab. for Novel Software Technology, Nanjing University; Nanjing University of Science and Technology and State Key Lab. for Novel Software Technology, Nanjing University
Conference: nips 2021 (main track)
Keywords: Fine-Grained Image Retrieval;Large-Scale Data;Attribute-Aware;Learning to Hash
Decision: Spotlight
Title: Generic Neural Architecture Search via Regression
Authors: Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Affiliations: University of Illinois at Urbana-Champaign; Georgia Institute of Technology; University at Buffalo; Purdue University
Conference: nips 2021 (main track)
Keywords: neural architecture search;convolutional neural network;self-supervised learning
Decision: Spotlight
Title: Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Authors: Yonghan Jung, Jin Tian, Elias Bareinboim
Affiliations: Purdue University; Columbia University; Iowa State University
Conference: nips 2021 (main track)
Keywords: instrumental variables;local treatment effect;complier average causal effects;density estimation;double/debiased machine learning;semiparametric inference
Decision: Spotlight