hunoutl/paperlists huggingface dataset:
Title: Sim and Real: Better Together
Authors: Shirli Di-Castro, Dotan Di Castro, Shie Mannor
Affiliations: Technion Institute of Technology, Haifa, Israel; Technion and NVIDIA Research, Israel; Bosch Center of AI, Haifa, Israel
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Robotics;Replay buffer
Decision: Poster
Title: Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Authors: Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
Conference: nips 2021 (main track)
Keywords: reinforcement learning;regret minimization;exploration;problem-dependent analysis;representation selection
Decision: Poster
Title: The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Authors: Shahab Bakhtiari, Patrick Mineault, Timothy Lillicrap, Christopher Pack, Blake Richards
Affiliations: ; CIFAR, Mila & McGill University; McGill University; Mila & McGill University; DeepMind
Conference: nips 2021 (main track)
Keywords: neuroscience;visual system;self-supervised learning;visual cortex
Decision: Spotlight
Title: Indian-COVID-19 CT Dataset and Analysis of Chest CT Scans of COVID-19 Patients Using Lightweight CNN
Affiliations: Grace Cancer Foundation, Hyderabad, India; Data Sciences and Analytics Center, International Institute of Information Technology, Hyderabad, India 500032; Software Engineering Research Centre, International Institute of Information Technology, Hyderabad, India 500032; Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, India 500032
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: COVID-19;Convolutional Neural Networks;Computed Tomography Scans;Indian-CT
Decision: Reject
Title: Object-aware Contrastive Learning for Debiased Scene Representation
Authors: Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Affiliations: KAIST; Google Cloud AI
Conference: nips 2021 (main track)
Keywords: self-supervised learning;contrastive learning;debiased representation
Decision: Poster
Title: Information Directed Reward Learning for Reinforcement Learning
Authors: David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
Affiliations: Department of Computer Science, ETH Zurich; Department of Computer Science, University of Vienna; Spotify
Conference: nips 2021 (main track)
Keywords: reward learning;reinforcement learning;active learning;preference learning;human feedback
Decision: Poster
Title: From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
Authors: Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
Affiliations: Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9198-CRIStAL, F-59000 Lille, France
Conference: nips 2021 (main track)
Keywords: Multi-armed bandits;Stochastic Bandits;robustness;regret analysis
Decision: Poster
Title: Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Authors: Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
Affiliations: The Alan Turing Institute; EPFL; University of Cambridge & The Alan Turing Institute; LIONS, EPFL
Conference: nips 2021 (main track)
Keywords: Inverse Reinforcement Learning;Imitation Learning;Robust Reinforcement Learning
Decision: Poster
Title: On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Authors: Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
Affiliations: The Ohio State University; Google Research
Conference: nips 2021 (main track)
Keywords: Long-tailed distribution;Object detection;Instance segmentation;Calibration
Decision: Poster
Title: Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
Authors: Tian-Zuo Wang, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China.; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China; Pazhou Lab, Guangzhou, 510330, China.
Conference: nips 2021 (main track)
Keywords: causal effect identification;maximal ancestral graph;latent confounders;causal discovery
Decision: Poster
Title: Distilling Image Classifiers in Object Detectors
Authors: Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
Affiliations: 2NVIDIA, Santa Clara, CA 95051, USA; 1CVLab, EPFL, Lausanne 1015, Switzerland
Conference: nips 2021 (main track)
Keywords: knowledge distillation;classifier-to-detector;across tasks;object detection
Decision: Poster
Title: Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Authors: Zhaozhi Qian, William Zame, Lucas Fleuren, Paul Elbers, Mihaela van der Schaar
Affiliations: University of Cambridge; Amsterdam UMC; University of Cambridge, UCLA, The Alan Turing Institute; UCLA
Conference: nips 2021 (main track)
Keywords: COVID-19;Neural ODE;Hybrid Model;Expert-designed ODE
Decision: Poster
Title: Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
Authors: Xudong XU, Xingang Pan, Dahua Lin, Bo Dai
Affiliations: †CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong; ‡Max Planck Institute for Informatics; §S - Lab, Nanyang Technological University
Conference: nips 2021 (main track)
Keywords: Generative model;Generative Radiance Fields;3D-aware image synthesis
Decision: Poster
Title: DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Authors: Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed Chi
Affiliations: Google; Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: Mixture of Experts;Sparse Mixture of Experts;Sparsity;Sparse Gate;Subset Selection;Multi-task Learning
Decision: Poster
Title: Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Authors: Reuben Tan, Bryan Plummer, Kate Saenko, Hailin Jin, Bryan Russell
Affiliations: Boston University; Boston University, MIT-IBM Watson AI Lab, IBM Research; Adobe Research
Conference: nips 2021 (main track)
Keywords: Self-supervision;video understanding;natural language
Decision: Spotlight
Title: Measuring the State of Document Understanding
Affiliations: Applica.ai
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Document Understanding;Multi-modal Models;Language Models;NLP;Multimodal Data;Key Information Extraction;Question Answering;Information Extraction;Table Comprehension;KIE;NLI;Visual QA;Layout-aware Language Models
Decision: Reject
Title: Edge Representation Learning with Hypergraphs
Authors: Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang
Affiliations: KAIST; KAIST, AITRICS
Conference: nips 2021 (main track)
Keywords: Graph Neural Network;Edge Representation Learning;Graph Pooling;Hypergraph
Decision: Poster
Title: A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
Authors: Jongmin Lee, Chanwoo Park, Ernest Ryu
Affiliations: Seoul National University
Conference: nips 2021 (main track)
Keywords: acceleration;convex optimization;Euclidean geometry;gradient norm;small gradients;making gradients small;composite optimization;OGM;FISTA;OGM-G;potential function-based;Lyapunov analysis;complexity bounds
Decision: Poster
Title: MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Authors: Hao Xue, Flora Salim, Yongli Ren, Nuria Oliver
Affiliations: School of Computing Technologies, RMIT University, Melbourne, Australia; ELLIS Unit Alicante Foundation, Alicante, Spain
Conference: nips 2021 (main track)
Keywords: human mobility;POI prediction;auxiliary learning
Decision: Poster
Title: SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Authors: Victor Zhong, Austin W. Hanjie, Sida Wang, Karthik Narasimhan, Luke Zettlemoyer
Affiliations: Department of Computer Science, University of Washington; Facebook AI Research; Facebook AI Research; Department of Computer Science, University of Washington; Department of Computer Science, Princeton University
Conference: nips 2021 (main track)
Keywords: language grounding;reinforcement learning
Decision: Poster
Title: Deconditional Downscaling with Gaussian Processes
Authors: Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic
Affiliations: University of Oxford
Conference: nips 2021 (main track)
Keywords: statistical downscaling;spatial disaggregation;deconditioning;Gaussian processes;kernel methods;conditional mean embeddings;conditional expectation;two-stage regression
Decision: Poster
Title: Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Authors: Alexander Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan Boyd-Graber, Philip Resnik
Affiliations: CS, iSchool, UMIACS, University of Maryland; Computer Science, University of Maryland; LSC UMIACS, University of Maryland; UMIACS, Linguistics, University of Maryland
Conference: nips 2021 (main track)
Keywords: topic model;topic model evaluation;npmi;topic coherence;human evaluation;metric;evaluation;validation;crowdsourcing;model comparison;automatic metric;automated metric
Decision: Spotlight
Title: DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
Authors: Brandon Jacques, Zoran Tiganj, Marc Howard, Per B Sederberg
Affiliations: Department of Computer Science, Indiana University; Department of Psychology, University of Virginia; Department of Psychology, University Of Virginia; Department of Psychological and Brain Sciences, Boston University
Conference: nips 2021 (main track)
Keywords: Time-cells;Memory;Cognitive Science;Architecture;Time-series;Recurrent Neural-Network
Decision: Poster
Title: Scaling Up Exact Neural Network Compression by ReLU Stability
Authors: Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam
Affiliations: Bucknell University, Lewisburg, PA, United States; University of Utah, Salt Lake City, UT, United States; Google Research, New York, NY, United States; Michigan State University, East Lansing, MI, United States
Conference: nips 2021 (main track)
Keywords: Scaling;Neural Networks;Lossless Compression;ReLU
Decision: Poster
Title: Shift Invariance Can Reduce Adversarial Robustness
Authors: Vasu Singla, Songwei Ge, Basri Ronen, David Jacobs
Affiliations: Weizmann Institute of Science; University of Maryland
Conference: nips 2021 (main track)
Keywords: adversarial robustness;adversarial examples;adversarial machine learning;shift invariance
Decision: Poster
Title: RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Authors: Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph Gonzalez, Ion Stoica
Affiliations: Anyscale; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Distributed Reinforcement Learning;Dataflow Programming Model
Decision: Poster
Title: Unsupervised Foreground Extraction via Deep Region Competition
Authors: Peiyu Yu, Sirui Xie, Xiaojian (Shawn) Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
Affiliations: UCLA Department of Computer Science; Beijing Institute for General Artificial Intelligence (BIGAI); UCLA Department of Computer Science, UCLA Department of Statistics, Beijing Institute for General Artificial Intelligence (BIGAI); UCLA Department of Statistics
Conference: nips 2021 (main track)
Keywords: unsupervised learning;foreground extraction;generative model;generalization
Decision: Poster
Title: Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
Authors: JAEHOON LEE, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
Affiliations: Samsung SDS; Yonsei University
Conference: nips 2021 (main track)
Keywords: GAN;Tabular Data Synthesis;Fake Data
Decision: Poster
Title: Contrastive Learning of Global and Local Video Representations
Authors: shuang ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
Affiliations: Microsoft Research, Redmond, WA, USA; Microsoft, Redmond, WA, USA; Sun Yat-sen University, Guangzhou, China
Conference: nips 2021 (main track)
Keywords: contrastive learning;self-supervised learning;video representation learning;multimodal learning
Decision: Poster
Title: Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
Authors: Shoutik Mukherjee, Behtash Babadi
Affiliations: Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland, College Park, College Park, MD 20742
Conference: nips 2021 (main track)
Keywords: neural coding;generalized linear models;synchrony;orthogonal matching pursuit;high-dimensional inference
Decision: Poster
Title: Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Authors: Krishnan Raghavan, Prasanna Balaprakash
Affiliations: Mathematics and Computer Science Division and Leadership Computing Facility, Argonne National Laboratory; Mathematics and Computer Science Division, Argonne National Laboratory
Conference: nips 2021 (main track)
Keywords: Continual learning;dynamic programming;game theory;differential equations
Decision: Poster
Title: Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Authors: Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Affiliations: Institute of Advanced Technology, Westlake Institute for Advanced Study; Zhejiang University; UC Berkeley
Conference: nips 2021 (main track)
Keywords: unsupervised reinforcement learning;dynamics adaptation;sim2real
Decision: Poster
Title: Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Authors: Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
Affiliations: Microsoft Research Asia; The Hong Kong University of Science and Technology; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Deep Reinforcement Learning;Distributional Reinforcement Learning
Decision: Poster
Title: Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Authors: Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dorfler
Affiliations: ETH Zürich
Conference: nips 2021 (main track)
Keywords: Machine Learning;Neural Delay Differential Equations;Dynamical Systems;Partially Observed Systems;Time-Delay Systems;Stable System Identification;Safe Learning
Decision: Poster
Title: Off-Policy Risk Assessment in Contextual Bandits
Authors: Audrey Huang, Liu Leqi, Zachary Lipton, Kamyar Azizzadenesheli
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801; Department of Computer Science, Purdue University, West Lafayette, IN 47907; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2021 (main track)
Keywords: off policy evaluation;contextual bandits;double robustness;cumulative distribution functions;risk functionals
Decision: Poster
Title: K-Net: Towards Unified Image Segmentation
Authors: Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy
Affiliations: CUHK-SenseTime Joint Lab, the Chinese University of Hong Kong; SenseTime Research, Shanghai AI Laboratory; S-Lab, Nanyang Technological University
Conference: nips 2021 (main track)
Keywords: Image Segmentaion;Dynamic Kernels
Decision: Poster
Title: Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Authors: Jianbo Ouyang, Hui Wu, Min Wang, Wengang Zhou, Houqiang Li
Affiliations: Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center; CAS Key Laboratory of Technology in GIPAS, EEIS Department, University of Science and Technology of China; CAS Key Laboratory of Technology in GIPAS, EEIS Department, University of Science and Technology of China; Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2021 (main track)
Keywords: Image retrieval;re-ranking
Decision: Poster
Title: Two-sided fairness in rankings via Lorenz dominance
Authors: Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
Affiliations: Facebook AI; LAMSADE, Université PSL, Université Paris Dauphine, CNRS, France; Facebook AI, LAMSADE, Université PSL, Université Paris Dauphine, CNRS, France
Conference: nips 2021 (main track)
Keywords: fairness;ranking;recommendation;welfare
Decision: Poster
Title: Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Authors: Taiji Suzuki, Atsushi Nitanda
Affiliations: Department of Mathematical Informatics, The University of Tokyo, Tokyo, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; Kyushu Institute of Technology, Fukuoka, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
Conference: nips 2021 (main track)
Keywords: deep learning;Besov space;minimax optimality
Decision: Spotlight
Title: DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space
Affiliations: Data Science in Earth Observation, Technical University of Munich (TUM); Earth Observation Center, German Aerospace Center (DLR); Data Science in Earth Observation, Technical University of Munich (TUM); Environmental Computational Science and Earth Observation Laboratory (ECEO), École Polytechnique Fédérale de Lausanne (EPFL); Earth Observation Center, German Aerospace Center (DLR); Sinergise; Planet Labs; Dynamic Vision and Learning Group, Technical University of Munich (TUM); Φ-Lab, European Space Agency (ESA)
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Agriculture;Crop Type Classification;Satellite Image Time Series;Food Security;Data Fusion
Decision: Poster
Title: Weisfeiler and Lehman Go Cellular: CW Networks
Authors: Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yuguang Wang, Pietro Liò, Guido Montufar, Michael Bronstein
Affiliations: Imperial College London & Twitter; UCLA; University of Cambridge; MPI-MIS & UCLA; MPI-MIS, SJTU & UNSW
Conference: nips 2021 (main track)
Keywords: graph neural networks;graph representation learning;simplicial complexes;cell complexes;cw complexes;simplicial neural networks
Decision: Poster
Title: Language models enable zero-shot prediction of the effects of mutations on protein function
Authors: Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alex Rives
Affiliations: 1Facebook AI Research, 2New York University; 1Facebook AI Research; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Proteins;language modeling;generative biology;zero-shot learning;unsupervised learning;variant prediction
Decision: Poster
Title: Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Authors: Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
Affiliations: University of Illinois Urbana-Champaign; Google Research
Conference: nips 2021 (main track)
Keywords: graph semi-supervised learning;distributional shifts;transfer learning
Decision: Poster
Title: Best-case lower bounds in online learning
Authors: Cristóbal Guzmán, Nishant Mehta, Ali Mortazavi
Affiliations: Department of Applied Mathematics, University of Twente and Institute for Mathematical and Computational Eng., Pontiﬁcia Universidad Católica de Chile; Department of Computer Science, University of Victoria
Conference: nips 2021 (main track)
Keywords: online learning;online convex optimization;learning theory
Decision: Poster
Title: Can contrastive learning avoid shortcut solutions?
Authors: Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
Affiliations: MIT CSAIL; MIT CSAIL & LIDS; MIT LIDS; University of Pittsburgh
Conference: nips 2021 (main track)
Keywords: contrastive learning;feature suppression;shortcut solutions;self-supervised learning
Decision: Poster
Title: Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Authors: Shiqi Yang, yaxing wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Affiliations: Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain; Huawei Kirin Solution, Shanghai, China; PCALab, Nanjing University of Science and Technology, China
Conference: nips 2021 (main track)
Keywords: source-free domain adaptation;reciprocal nearest neighbors
Decision: Poster
Title: Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Authors: Robert Vandermeulen, Antoine Ledent
Affiliations: Machine Learning Group, Technische Universität Kaiserslautern, Kaiserslautern, Germany; Machine Learning Group, Technische Universiät Berlin, Berlin, Germany
Conference: nips 2021 (main track)
Keywords: Low-rank;nonparametric;density estimation;statistical learning theory;matrix factorization;tensor factorization;multi-view model
Decision: Poster
Title: Shape Registration in the Time of Transformers
Authors: Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
Affiliations: DAIS, Ca’ Foscari University of Venice; Department of Computer Science, Sapienza University of Rome; Department of Computer Engineering, Sapienza University of Rome
Conference: nips 2021 (main track)
Keywords: 3D Registration;Point Clouds;Deep Learning;Transformers;Shape Matching
Decision: Poster
Title: The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Authors: Fang Kong, Yueran Yang, Wei Chen, Shuai Li
Affiliations: Microsoft Research; Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: combinatorial multi-armed bandit (CMAB);Thompson sampling (TS);approximation oracle;Greedy oracle
Decision: Poster
Title: Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Authors: Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeongin Yu, Byung-Gon Chun
Affiliations: Samsung Research; Seoul National University; Seoul National University, FriendliAI; University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: machine learning system
Decision: Poster
Title: Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
Authors: Shinsaku Sakaue, Kengo Nakamura
Affiliations: The University of Tokyo, Tokyo, Japan; NTT Communication Science Laboratories, Kyoto, Japan
Conference: nips 2021 (main track)
Keywords: differentiable optimization;decision diagrams;combinatorial congestion game;Stackelberg game
Decision: Poster
Title: Deep Reinforcement Learning at the Edge of the Statistical Precipice
Authors: Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc Bellemare
Affiliations: MILA, Université de Montréal; Google Research, Brain Team; MILA, Université de Montréal; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Evaluation;Benchmarking;Scientific Progress;Reliability
Decision: Oral
Title: Numerical influence of ReLU’(0) on backpropagation
Authors: David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
Affiliations: Toulouse School of Economics, Université Toulouse 1 Capitole, ANITI, Toulouse, France; IRT Saint Exupéry, Institut de Mathématiques de Toulouse, ANITI, Toulouse, France; CNRS, IRIT, Université Paul Sabatier, ANITI, Toulouse, France; IRT Saint Exupéry, ISAE-SUPAERO, ANITI, Toulouse, France
Conference: nips 2021 (main track)
Keywords: Nonsmooth algorithmic differentiation;numerical precision;neural network training;conservative fields
Decision: Poster
Title: What’s a good imputation to predict with missing values?
Authors: Marine Le Morvan, Julie Josse, Erwan Scornet, Gael Varoquaux
Affiliations: Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France; Inria Sophia-Antipolis, Montpellier, France; CMAP, UMR7641, Ecole Polytechnique, IP Paris, 91128 Palaiseau, France
Conference: nips 2021 (main track)
Keywords: missing values;neural networks;Bayes optimality;consistency
Decision: Spotlight