hunoutl/paperlists huggingface dataset:
Title: Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Authors: Anish Chakrabarty, Swagatam Das
Affiliations: Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata; Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata
Conference: nips 2021 (main track)
Keywords: Autoencoders;Optimal Transport;VC dimension;Deep Generative Models
Decision: Spotlight
Title: Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
Authors: Zeng Yihan, Chunwei Wang, Yunbo Wang, Hang Xu, Chaoqiang Ye, Zhen Yang, Chao Ma
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Huawei Noah's Ark Lab
Conference: nips 2021 (main track)
Keywords: 3D object detection;point cloud detection;transfer learning
Decision: Poster
Title: Designing Counterfactual Generators using Deep Model Inversion
Authors: Jayaraman Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias
Affiliations: Stanford University; Lawrence Livermore National Laboratory; IBM Research AI; Arizona State University
Conference: nips 2021 (main track)
Keywords: explainable AI;deep inversion;counterfactuals;image priors;implicit neural representations
Decision: Poster
Title: Grammar-Based Grounded Lexicon Learning
Authors: Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum
Affiliations: Stanford University; Not provided; MIT; TTIC
Conference: nips 2021 (main track)
Keywords: Grounded Language Learning;Combinatory Categorial Grammar;Compositional Generalization
Decision: Poster
Title: Contrastive Laplacian Eigenmaps
Authors: Hao Zhu, Ke Sun, Peter Koniusz
Affiliations: Data61/CSIRO, Australian National University
Conference: nips 2021 (main track)
Keywords: Laplacian Eigenmaps;Graph Neural Networks;Contrastive Learning;Wassertein Distance;Kantorovich-Rubinstein duality;Block-Contrastive;Geometric Mean
Decision: Poster
Title: The Inductive Bias of Quantum Kernels
Authors: Jonas Kübler, Simon Buchholz, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: Quantum Machine Learning;Kernel Methods;Quantum Kernels;Inductive Bias;Regression;Learning Theory
Decision: Poster
Title: Neural Active Learning with Performance Guarantees
Authors: Zhilei Wang, Pranjal Awasthi, Christoph Dann, Ayush Sekhari, Claudio Gentile
Affiliations: Google Research, New York, NY 10011; New York University, New York, NY 10012; Cornell University, Ithaca, NY 14850
Conference: nips 2021 (main track)
Keywords: Active learning;Deep Neural Networks;Neural Tangent Kernel;Selective Sampling;theoretical guarantees
Decision: Poster
Title: On the Existence of The Adversarial Bayes Classifier
Authors: Pranjal Awasthi, Natalie Frank, Mehryar Mohri
Affiliations: Google Research, New York, NY 10011, USA; Courant Institute, New York, NY 10012, USA; Google Research & Courant Institute, New York, NY 10011, USA
Conference: nips 2021 (main track)
Keywords: Adversarial Learning;Learning Theory;Consistency;Calibration;Bayes classifiers
Decision: Spotlight
Title: Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
Authors: Gabriele Farina, Tuomas Sandholm
Affiliations: Computer Science Department, CMU, Strategy Robot, Inc., Strategic Machine, Inc., Optimized Markets, Inc.; Computer Science Department, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: extensive-form game;Nash equilibrium;equilibrium refinement
Decision: Poster
Title: Optimality of variational inference for stochasticblock model with missing links
Authors: Solenne Gaucher, Olga Klopp
Affiliations: D´epartement de Math ´ematiques d’Orsay, Universit ´e Paris-Saclay, Orsay, France; ESSEC Business School, Cergy, France; CREST, ENSAE, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: Network models;link prediction;variational methods;maximum likelihood
Decision: Poster
Title: Revisiting Deep Learning Models for Tabular Data
Authors: Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Affiliations: †Yandex, Russia, ‡Moscow Institute of Physics and Technology, Russia; †Yandex, Russia, ♣National Research University Higher School of Economics, Russia; †Yandex, Russia
Conference: nips 2021 (main track)
Keywords: tabular data;architecture;DNN
Decision: Poster
Title: Towards Biologically Plausible Convolutional Networks
Authors: Roman Pogodin, Yash Mehta, Timothy Lillicrap, Peter E Latham
Affiliations: DeepMind; CoMPLEX, UCL; Gatsby Unit, UCL
Conference: nips 2021 (main track)
Keywords: biologically plausible deep learning;convolutional networks;Hebbian plasticity
Decision: Poster
Title: Logarithmic Regret in Feature-based Dynamic Pricing
Authors: Jianyu Xu, Yu-Xiang Wang
Affiliations: Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106
Conference: nips 2021 (main track)
Keywords: dynamic pricing;online learning;adversarial features;optimal regret;affine invariant;distribution-free.
Decision: Spotlight
Title: Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
Authors: Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang
Affiliations: National Yang Ming Chiao Tung University, UNC Chapel Hill; UC Merced; National Yang Ming Chiao Tung University; Snap Research; UC Merced, Google Research, Yonsei University
Conference: nips 2021 (main track)
Keywords: Audio-visual Video Parsing;Weakly-supervised Learning;Vision Applications and Systems
Decision: Poster
Title: Particle Cloud Generation with Message Passing Generative Adversarial Networks
Authors: Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, jean-roch vlimant, Dimitrios Gunopulos
Affiliations: Universidade Estadual Paulista, São Paulo/SP - CEP 01049-010, Brazil; European Organization for Nuclear Research (CERN), CH-1211 Geneva 23, Switzerland; University of California San Diego, La Jolla, CA 92093, USA; California Institute of Technology, Pasadena, CA 91125, USA; National and Kapodistrian University of Athens, Athens 15772, Greece; European Organization for Nuclear Research (CERN), CH-1211 Geneva 23, Switzerland Also at National and Kapodistrian University of Athens, Athens, Greece
Conference: nips 2021 (main track)
Keywords: generative models;gans;point clouds;physics
Decision: Poster
Title: Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening
Affiliations: Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA; Computational Sciences Initiative, Brookhaven National Laboratory, Upton, New York 11973, USA
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Surrogate models;virtual screening;drug discovery;SARS-CoV-2
Decision: Reject
Title: Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Authors: Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc V Gool
Affiliations: 1KU Leuven/ESAT-PSI; 2ETH Zurich/CVL; 1KU Leuven/ESAT-PSI2ETH Zurich/CVL
Conference: nips 2021 (main track)
Keywords: representation learning;unsupervised learning;self-supervised learning;contrastive learning;computer vision
Decision: Poster
Title: Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Authors: Bruno Loureiro, Gabriele Sicuro, Cedric Gerbelot, Alessandro Pacco, Florent Krzakala, Lenka Zdeborová
Affiliations: SPOC, EPFL, Lausanne; IdePHICS, EPFL, Lausanne; Laboratoire de Physique de l’École Normale Supérieure; Department of Mathematics, King’s College London
Conference: nips 2021 (main track)
Keywords: Statistical Physics;Replica method;High-dimensional statistics;Approximate Message Passing;Gaussian Mixture Models
Decision: Spotlight
Title: Inverse-Weighted Survival Games
Authors: Xintian Han, Mark Goldstein, Aahlad Puli, Thomas Wies, Adler Perotte, Rajesh Ranganath
Affiliations: NYU; Columbia University
Conference: nips 2021 (main track)
Keywords: Survival Analysis;Healthcare;Censoring;Games;IPCW;Brier Score
Decision: Poster
Title: Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Authors: Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover
Affiliations: JP Morgan Chase AI Research; Department of Electrical and Computer Engineering, Neuroscience Institute, Carnegie Mellon University; Allen Institute, University of Washington, Seattle; Department of Electrical and Computer Engineering, Neuroscience Institute, Carnegie Mellon University; Department of Electrical and Computer Engineering, Neuroscience Institute, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: information flow;interventions;neuroscience;information theory;explainability;fairness
Decision: Poster
Title: Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
Authors: Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
Affiliations: Virginia Tech
Conference: nips 2021 (main track)
Keywords: Deep Learning;Network Pruning;Representation Learning;Feature Compression;Dimensionality Reduction;Graph Representation Learning;Recommendation System
Decision: Poster
Title: Class-Disentanglement and Applications in Adversarial Detection and Defense
Authors: Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao
Affiliations: University of Science and Technology of China; JD Explore Academy; University of Washington, Seattle
Conference: nips 2021 (main track)
Keywords: class disentanglement;interpretable machine learning;adversarial detection
Decision: Poster
Title: SSMF: Shifting Seasonal Matrix Factorization
Authors: Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
Affiliations: ; National University of Singapore; SANKEN Osaka University
Conference: nips 2021 (main track)
Keywords: Matrix Factorization;Seasonality;Regime Switching;Online Algorithm
Decision: Poster
Title: Stochastic Multi-Armed Bandits with Control Variates
Authors: Arun Verma, Manjesh Kumar Hanawal
Affiliations: Department of Computer Science, National University of Singapore; Department of IEOR, IIT Bombay, Mumbai, India
Conference: nips 2021 (main track)
Keywords: Stochastic Multi-Armed Bandits;Variance Reduction;Control Variates
Decision: Poster
Title: Settling the Variance of Multi-Agent Policy Gradients
Authors: Jakub Grudzien Kuba, Muning Wen, Linghui Meng, shangding gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
Affiliations: Imperial College London; University College London; Institute of Automation, Chinese Academy of Science; Shanghai Jiao Tong University; Institute for AI, Peking University; Huawei R&D UK
Conference: nips 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;Policy Gradient;Variance Reduction;Statistics
Decision: Poster
Title: An Information Retrieval Approach to Building Datasets for Hate Speech Detection
Affiliations: Department of Computer Science, The University of Texas at Austin; Department of Computer Engineering, TOBB University of Economics and Technology; School of Journalism and Media, The University of Texas at Austin; School of Information, The University of Texas at Austin
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Hate Speech;Test Collections;Pooling;Active Learning;Rationales
Decision: Poster
Title: Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
Authors: Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang
Affiliations: Department of Biostatistics, Columbia University, New York, NY 10032; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516; Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017
Conference: nips 2021 (main track)
Keywords: Spatial temporal modeling;COVID-19 pandemic;Health disparity;Selection bias;Gaussian process;Disease transmission;Latent process
Decision: Poster
Title: Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Authors: Hassan Dbouk, Naresh Shanbhag
Affiliations: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801
Conference: nips 2021 (main track)
Keywords: adversarial robustness;efficient inference;generalized depthwise-seprarable;convolutions;neural networks
Decision: Spotlight
Title: Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Authors: Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
Affiliations: University of Toronto, Vector Institute, Unity Health Toronto; University of Toronto, Vector Institute, University Health Network; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: few-shot text classification;meta-learning;transfer learning;conditional neural process;transformer;pretrained language models
Decision: Poster
Title: RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Authors: Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh Iyer
Affiliations: Department of Computer Science, The University of Texas at Dallas, Richardson, Texas, USA
Conference: nips 2021 (main track)
Keywords: Efficient Semi Supervised Learning;Semi Supervised Learning;Data Efficient Learning;Robust Learning;Coresets
Decision: Poster
Title: Differentiable Spline Approximations
Authors: Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Affiliations: New York University; Iowa State University
Conference: nips 2021 (main track)
Keywords: Differentiable programming;Spline approximation;NURBS;k-histogram
Decision: Poster
Title: To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Authors: Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski
Affiliations: Sorbonne Université, CNRS, LIP6, F-75005 Paris, France; reciTAL, Paris, France; CNRS, France
Conference: nips 2021 (main track)
Keywords: NLP - NLG - Language - Summarization - GAN - Generative - Adversarial - Discriminator - Cooperative - Decoding - Search - Beam
Decision: Poster
Title: Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
Authors: Guiliang Liu, Xiangyu Sun, Oliver Schulte, Pascal Poupart
Affiliations: School of Computing Science, Simon Fraser University; Cheriton School of Computer Science, University of Waterloo; Vector Institute
Conference: nips 2021 (main track)
Keywords: Interpretable Reinforcement Learning;Mimic Learning;Information Bottleneck;Identifiable Disentangling Object Encoder;Monte Carlo Regression Tree Search
Decision: Poster
Title: Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Authors: Atsushi Nitanda, Denny Wu, Taiji Suzuki
Affiliations: University of Tokyo, RIKEN Center for Advanced Intelligence Project; University of Toronto, Vector Institute for Artiﬁcial Intelligence; Kyushu Institute of Technology, RIKEN Center for Advanced Intelligence Project
Conference: nips 2021 (main track)
Keywords: Neural Network Optimization;Mean field Regime;Overparameterization;Langevin Algorithm
Decision: Poster
Title: Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Authors: Terrance Liu, Giuseppe Vietri, Steven Wu
Affiliations: University of Minnesota, Minneapolis, MN 55455; Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2021 (main track)
Keywords: Privacy;Differential Privacy;Machine Learning;Deep Learning;Synthetic Data;Query Release
Decision: Poster
Title: Rethinking Neural Operations for Diverse Tasks
Authors: Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar
Affiliations: University of Wisconsin-Madison; Carnegie Mellon University & Hewlett Packard Enterprise; Carnegie Mellon University; Hewlett Packard Enterprise; Stanford University
Conference: nips 2021 (main track)
Keywords: automated machine learning;neural architecture search;partial differential equations
Decision: Poster
Title: Model-Based Reinforcement Learning via Imagination with Derived Memory
Authors: Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Affiliations: The University of Hong Kong; Huawei Noah’s Ark Lab; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Model-based Reinforcement Learning;Policy Robustness;Visual Control Task;Derived Memory;World Models
Decision: Poster
Title: Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Authors: Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
Affiliations: University of Cagliari, Italy; Pluribus One, Italy; Tübingen AI Center, University of Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: machine learning;adversarial machine learning;computer vision;adversarial robustness;adversarial attacks
Decision: Poster
Title: Local policy search with Bayesian optimization
Authors: Sarah Müller, Alexander von Rohr, Sebastian Trimpe
Affiliations: Max Planck Institute for Intelligent Systems, Stuttgart, Germany; Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Germany; IA V GmbH, Gifhorn, Germany; Max Planck Institute for Intelligent Systems, Stuttgart, Germany; Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Germany; Max Planck Institute for Intelligent Systems, Stuttgart, Germany; Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: bayesian optimization;active learning;reinforcement learning;policy search
Decision: Poster
Title: Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
Authors: HyunJi Alex Nam, Scott Fleming, Emma Brunskill
Affiliations: Department of Biomedical Data Science, Stanford University; Department of Computer Science, Stanford University
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Observation Cost;Markov Decision Process;MDP;Partially Observable Markov Decision Process;POMDP;Probably Approximately Correct;PAC;Healthcare;Health care
Decision: Poster
Title: A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Authors: Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
Affiliations: Université de Montréal; Mila; CIFAR AI Chair; McGill University; Mila; CIFAR AI Chair; McGill University; DeepMind; Mila; CIFAR AI Chair
Conference: nips 2021 (main track)
Keywords: consciousness;planning;reinforcement learning;deep learning;model-based reinforcement learning;neuro-inspired AI;artificial intelligence;brain-inspired AI
Decision: Poster
Title: Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Authors: Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
Affiliations: Department of Mathematics, KTH Royal Institute of Technology; Department of Computing, Imperial College London
Conference: nips 2021 (main track)
Keywords: Mixed-integer programming;Deep learning;Rectified linear activation
Decision: Poster
Title: Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Authors: Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
Affiliations: Mila - Quebec AI Institute, Université de Montréal
Conference: nips 2021 (main track)
Keywords: out-of-distribution generalization;invariance principle;information bottleneck
Decision: Spotlight
Title: Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Authors: Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi
Affiliations: University of Victoria; University of British Columbia; University of Toronto; Google Research
Conference: nips 2021 (main track)
Keywords: object-centric representation learning;capsules;primary capsules;unsupervised;self-supervised;3D point clouds
Decision: Poster
Title: SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Authors: Ayush Sekhari, Karthik Sridharan, Satyen Kale
Affiliations: Cornell University; Google Research, NY
Conference: nips 2021 (main track)
Keywords: Theory;Implicit regularization;Stochastic convex optimization;SGD;RERM;Regularized ERM;Multiple-passes;GD
Decision: Poster
Title: Speech-T: Transducer for Text to Speech and Beyond
Authors: Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Science and Technology of China; South China University of Technology; Tsinghua University
Conference: nips 2021 (main track)
Keywords: transducer;text to speech;streaming;automatic speech recognition;alignment learning
Decision: Poster
Title: A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Authors: Xingang Pan, Xudong XU, Chen Change Loy, Christian Theobalt, Bo Dai
Affiliations: S-Lab, Nanyang Technological University; Max Planck Institute for Informatics; The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Generative adversarial networks;Deep implicit models;3D-aware image synthesis
Decision: Poster
Title: Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
Authors: Tianhao Wang, Dongruo Zhou, Quanquan Gu
Affiliations: Department of Statistics and Data Science, Yale University, New Haven, CT 06511; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2021 (main track)
Keywords: reinforcement learning;linear function approximation;adaptivity constraint
Decision: Poster
Title: Instance-Conditional Knowledge Distillation for Object Detection
Authors: Zijian Kang, Peizhen Zhang, Xiangyu Zhang, Jian Sun, Nanning Zheng
Affiliations: Xi’an Jiaotong University; MEGVII Technology
Conference: nips 2021 (main track)
Keywords: Knowledge Distillation;Object Detection;Instance Segmentation
Decision: Poster
Title: Explaining Hyperparameter Optimization via Partial Dependence Plots
Authors: Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
Affiliations: Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany; Institute of Information Processing, Leibniz University Hannover, Hannover, Germany
Conference: nips 2021 (main track)
Keywords: Automated machine learning;hyperparameter optimization;interpretable machine learning;partial dependence plots
Decision: Poster
Title: Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Authors: Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N Balasubramanian
Affiliations: Microsoft Research India; Indian Institute of Technology, Hyderabad; Chennai Mathematical Institue, Chennai
Conference: nips 2021 (main track)
Keywords: Adversarial robustness;spatial robustness;invariance;curriculum learning
Decision: Poster
Title: Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Authors: Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu
Affiliations: Department of Electrical and Computer Engineering, Northeastern University; Adobe Research; Department of Electrical and Computer Engineering, Northeastern University & Khoury College of Computer Science, Northeastern University
Conference: nips 2021 (main track)
Keywords: Graph Similarity Computation;Efficient Model;Knowledge Distillation
Decision: Poster
Title: Nested Variational Inference
Authors: Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent
Affiliations: Institute of Informatics, University of Amsterdam; Khoury College of Computer Sciences, Northeastern University
Conference: nips 2021 (main track)
Keywords: Variational Inference;Importance Sampling;Monte Carlo methods
Decision: Poster