hunoutl/paperlists huggingface dataset:
Title: Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Authors: Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger Grosse
Affiliations: Stanford University; University of Toronto; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: Annealed Importance Sampling;Marginal Likelihood Estimation;Variational Inference
Decision: Poster
Title: An Uncertainty Principle is a Price of Privacy-Preserving Microdata
Authors: John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
Affiliations: Knexus; U.S. Census Bureau; U.S. Census Bureau and Cornell University; U.S. Census Bureau and Penn State University; formerly U.S. Census Bureau, U.S. Department of Homeland Security, and George Washington University; formerly U.S. Census Bureau and Tumult Labs
Conference: nips 2021 (main track)
Keywords: differential privacy;synthetic data
Decision: Poster
Title: Discovering and Achieving Goals via World Models
Authors: Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
Affiliations: Carnegie Mellon University; University of Toronto; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: unsupervised goal reaching;unsupervised rl;goal-conditioned rl;exploration;model-based rl;world models
Decision: Poster
Title: A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
Authors: Gugan Chandrashekhar Thoppe, Bhumesh Kumar
Affiliations: Computer Science and Automation, Indian Institute of Science, Bengaluru, Karnataka 560012, India; Electrical and Computer Engineering, University of Wisconsin at Madison, Madison, WI 53706, USA
Conference: nips 2021 (main track)
Keywords: multi-agent;distributed;stochastic approximation;almost sure;convergence rates;row stochastic;gossip;law of iterated logarithm;concentration;martingale
Decision: Poster
Title: Optimal Underdamped Langevin MCMC Method
Authors: Zhengmian Hu, Feihu Huang, Heng Huang
Affiliations: Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
Conference: nips 2021 (main track)
Keywords: sampling;underdamped Langevin diffusion;Bayesian methods
Decision: Poster
Title: Integrating Tree Path in Transformer for Code Representation
Authors: Han Peng, Ge Li, Wenhan Wang, YunFei Zhao, Zhi Jin
Affiliations: Key Laboratory of High Conﬁdence Software Technologies (Peking University), Ministry of Education; Institute of Software, EECS, Peking University, Beijing, China
Conference: nips 2021 (main track)
Keywords: machine learning for code;code summarization
Decision: Poster
Title: Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Authors: Ahmed Abbas, Paul Swoboda
Affiliations: MPI for Informatics, Saarland Informatics Campus
Conference: nips 2021 (main track)
Keywords: Combinatorial optimization;Backpropagation;Panoptic segmentation;end-to-end learning;CNNs;Gradient estimation;Fully differentiable
Decision: Poster
Title: When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Authors: Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan
Conference: nips 2021 (main track)
Keywords: Adversarial robustness;self-supervised learning;pretraining and finetuning
Decision: Poster
Title: Invariant Causal Imitation Learning for Generalizable Policies
Authors: Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
Affiliations: University of Cambridge, Cambridge, UK; University of Cambridge, Cambridge, UK; University of California, Los Angeles, USA; The Alan Turing Institute, London, UK; University of Oxford, Oxford, UK; The Alan Turing Institute, London, UK
Conference: nips 2021 (main track)
Keywords: imitation learning;representation learning;decision-making
Decision: Poster
Title: Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Authors: Angeliki Lazaridou, Adhi Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d&amp;#x27;Autume, Tomas Kocisky, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Barlow, Phil Blunsom
Affiliations: ; DeepMind, London, UK
Conference: nips 2021 (main track)
Keywords: language modelling;temporal splits;model analysis
Decision: Spotlight
Title: Bandit Quickest Changepoint Detection
Authors: Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
Affiliations: Electrical and Computer Engineering, Boston University, Boston, MA 02215; Electrical Communication Engineering, Indian Institute of Science, Bengaluru 560012
Conference: nips 2021 (main track)
Keywords: Bandit;Changepoint detection;CUSUM;Quickest change detection;Detection delay;Adaptive sensing
Decision: Poster
Title: Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Authors: Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji
Affiliations: Media Analysis and Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University; Institute of Artificial Intelligence, Xiamen University; ByteDance Inc; Media Analysis and Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University
Conference: nips 2021 (main track)
Keywords: Generative Adversarial Networks;Cooperative Compression;Online Distillation
Decision: Poster
Title: Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Authors: Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy, Igor T Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzcinski
Affiliations: Jagiellonian University; Jagiellonian University, Warsaw University of Technology, Tooploox
Conference: nips 2021 (main track)
Keywords: early exit;model acceleration;efficiency
Decision: Poster
Title: Measuring Mathematical Problem Solving With the MATH Dataset
Authors: Dan Hendrycks and Collin Burns and Saurav Kadavath and Akul Arora and Steven Basart and Eric Tang and Dawn Song and Jacob Steinhardt
Affiliations: UChicago; UC Berkeley
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: math;transformers;reasoning;logic
Decision: Poster
Title: Self-Instantiated Recurrent Units with Dynamic Soft Recursion
Authors: Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, SHUAI ZHANG
Affiliations: NTU, Singapore; Mila, Université de Montréal; ETH Zürich; Google Research; Amazon Web Services AI
Conference: nips 2021 (main track)
Keywords: recurrent neural network;recursive neural network;LSTM
Decision: Poster
Title: Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
Authors: Jonathan Chang, Masatoshi Uehara, Dhruv Sreenivas, Rahul Kidambi, Wen Sun
Affiliations: Department of Computer Science, Cornell University; Amazon Search & AI
Conference: nips 2021 (main track)
Keywords: Offline Imitation Learning;Imitation Learning
Decision: Poster
Title: Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Authors: Max Ryabinin, Andrey Malinin, Mark Gales
Affiliations: Cambridge-ALTA Institute, Cambridge, United Kingdom; Yandex, HSE University, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: Distribution Distillation;Uncertainty;Scaling;Large-Scale Tasks
Decision: Poster
Title: Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Authors: Baihe Huang, Kaixuan Huang, Sham Kakade, Jason Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Affiliations: University of Harvard; Princeton University; Peking University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Nonlinear bandit;zeroth-order optimization;algebraic variety
Decision: Poster
Title: Modular Gaussian Processes for Transfer Learning
Authors: Pablo Moreno-Muñoz, Antonio Artes, Mauricio Álvarez
Affiliations: Section for Cognitive Systems, Technical University of Denmark (DTU); Dept. of Signal Theory and Communications, Universidad Carlos III de Madrid, Spain; Dept. of Computer Science, University of Sheffield, UK
Conference: nips 2021 (main track)
Keywords: Gaussian Processes
Decision: Poster
Title: IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Authors: Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogerio Feris, Aude Oliva
Affiliations: MIT CSAIL; MIT-IBM Watson AI Lab; UT Austin; MIT CSAIL, MIT-IBM Watson AI Lab
Conference: nips 2021 (main track)
Keywords: Dynamic Neural Network;Vision Transformer;Neural Network Interpretability;Efficient Neural Network
Decision: Poster
Title: Nested Graph Neural Networks
Authors: Muhan Zhang, Pan Li
Affiliations: Institute for Artiﬁcial Intelligence, Peking University; Beijing Institute for General Artiﬁcial Intelligence; Department of Computer Science, Purdue University
Conference: nips 2021 (main track)
Keywords: graph neural network;theory;expressive power;Weisfeiler-Lehman
Decision: Poster
Title: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Authors: Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
Affiliations: University of Tübingen, Tübingen, Germany; University of Tübingen, Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: state space models;differential equations;gaussian processes
Decision: Poster
Title: Fast rates for prediction with limited expert advice
Authors: El Mehdi Saad, Gilles Blanchard
Affiliations: Laboratoire de Mathématiques d’Orsay, CNRS, Université Paris-Saclay; Laboratoire de Mathématiques d’Orsay, CNRS, Université Paris-Saclay; Inria
Conference: nips 2021 (main track)
Keywords: Online Learning;prediction with expert advice;high probability bounds;budgeted learning
Decision: Poster
Title: Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
Authors: Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai
Affiliations: Ecole Polytechnique and HSE University; HSE University; Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; INRIA and ENS, PSL University; The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Concentration for products of random matrices;Bernstein-type bounds for Linear Stochastic Approximation;fine-grained analysis of Linear Stochastic Approximation;non-asymptotic analysis of Linear Stochastic Approximation
Decision: Poster
Title: Statistical Query Lower Bounds for List-Decodable Linear Regression
Authors: Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart
Affiliations: University of Wisconsin-Madison; University of California, San Diego; Web 3 Foundation
Conference: nips 2021 (main track)
Keywords: learning theory;high-dimensional robust statistics;statistical query model;list-decodable learning;linear regression
Decision: Spotlight
Title: Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Authors: Chengyue Gong, Xingchao Liu, Qiang Liu
Affiliations: Computer Science, The University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: constrained optimization;lexicographic optimization;multi-objective optimization;pareto set;multi-task learning
Decision: Poster
Title: Adversarial Robustness of Streaming Algorithms through Importance Sampling
Authors: Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Affiliations: Google; MIT; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: adversarial robustness;streaming algorithms;coresets
Decision: Poster
Title: RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Authors: Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
Affiliations: Hong Kong University of Science and Technology, Hong Kong; Nanyang Technological University, Singapore
Conference: nips 2021 (main track)
Keywords: multi-agent system;multi-agent reinforcement learning
Decision: Poster
Title: Across-animal odor decoding by probabilistic manifold alignment
Authors: Pedro Herrero-Vidal, Dmitry Rinberg, Cristina Savin
Affiliations: Center for Neural Science, Neuroscience Institute, New York University; Neuroscience Institute, Center for Neural Science, NYU Langone Health; Center for Neural Science, Center for Data Science, New York University
Conference: nips 2021 (main track)
Keywords: neuroscience;probabilistic models;latent dynamical systems;decoding;neural alignment;across-animal neural analysis
Decision: Spotlight
Title: Hypergraph Propagation and Community Selection for Objects Retrieval
Authors: Guoyuan An, Yuchi Huo, Sung-eui Yoon
Affiliations: School of Computing, KAIST; Zhejiang Lab, State Key Lab of CAD&CG, Zhejiang University
Conference: nips 2021 (main track)
Keywords: Image search;Landmark retrieval;Uncertainty;Diffusion;Query expansion;Matching;Hypergraph
Decision: Poster
Title: TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Authors: Yuejiang Liu, Parth Kothari, Bastien van Delft, Baptiste Bellot-Gurlet, Taylor Mordan, Alexandre Alahi
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL)
Conference: nips 2021 (main track)
Keywords: Test-time Adaptation;Source-free Domain Adaptation;Self-supervised Learning;Feature Alignment;Robustness;Generalization
Decision: Poster
Title: Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Authors: Frank Schneider, Felix Dangel, Philipp Hennig
Affiliations: University of Tübingen, Tübingen, Germany; University of Tübingen & MPI for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: deep learning;optimization;stochastic optimization;SGD;visualization;debugger
Decision: Poster
Title: Embedding Principle of Loss Landscape of Deep Neural Networks
Authors: Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhiqin J Xu
Affiliations: School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University; Shanghai Center for Brain Science and Brain-Inspired Technology; School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: deep neural network;embedding principle;loss landscape;critical points;degree of degeneracy
Decision: Spotlight
Title: Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
Authors: Sunghyeon Woo, Jeongwoo Park, Jiwoo Hong, Dongsuk Jeon
Affiliations: Seoul National University
Conference: nips 2021 (main track)
Keywords: activation sharing;weight transport problem;bidirectional connection;biologically plausible algorithms;neuromorphic algorithms;deep convolutional neural network;biological neural network
Decision: Poster
Title: On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
Authors: Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
Affiliations: Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece; Department of Computer Science, Columbia University, New York, NY 10025; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG & Criteo AI Lab
Conference: nips 2021 (main track)
Keywords: Regularized Learning;Convergence;Rates;Strict Nash Equilibria;Follow the Regularized Leader;Tight bounds;Bandits;Stochastic Optimization
Decision: Poster
Title: MLPerf Tiny Benchmark
Affiliations: Digital Catapult; UNC Charlotte; MLCommons; SambaNova Systems; Silicon Labs; Columbia; Harvard University; Latent AI; Syntiant; Qualcomm; Fermilab; Peng Cheng Labs; EEMBC; Google; UCSD; STMicroelectronics
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Machine learning;Benchmark;Embedded;IoT;Neural Network;Ultra-Low-Power
Decision: Poster
Title: Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Authors: Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo, Francesco Orabona, Dan Roy
Affiliations: Boston University; Spanﬂug Technologies GmbH; University of Toronto
Conference: nips 2021 (main track)
Keywords: online learning;prediction with expert advice;quantile regret;semi-adversarial;adaptive online learning;FTRL;regularized learning;f-divergence;aggregation;generalized Bayes;online variational inference
Decision: Poster
Title: Speedy Performance Estimation for Neural Architecture Search
Authors: Robin Ru, Clare Lyle, Lisa Schut, Miroslav Fil, Mark van der Wilk, Yarin Gal
Affiliations: OATML Group, Department of Computer Science, University of Oxford, UK; Department of Computing, Imperial College London, UK
Conference: nips 2021 (main track)
Keywords: neural architecture search;generalisation;performance estimation
Decision: Spotlight
Title: A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Authors: Theo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal
Affiliations: Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: Hyperspectral denoising;trainable sparse coding models for image denoising
Decision: Poster
Title: Continuous-time edge modelling using non-parametric point processes
Authors: Xuhui Fan, Bin Li, Feng Zhou, Scott SIsson
Affiliations: Shanghai Key Lab of IIP, School of Computer Science, Fudan University; UNSW Data Science Hub, and School of Mathematics & Statistics, University of New South Wales; Department of Computer Science & Technology, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Continuous-time Edges;Sigmoidal Gaussian Process;Variational Inference
Decision: Poster
Title: Class-Incremental Learning via Dual Augmentation
Authors: Fei Zhu, Zhen Cheng, Xu-yao Zhang, Cheng-lin Liu
Affiliations: NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Center for Excellence of Brain Science and Intelligence Technology, CAS; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China
Conference: nips 2021 (main track)
Keywords: class-incremental learning;continual learning;catastrophic forgetting;augmentation
Decision: Poster
Title: Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
Authors: Giora Simchoni, Saharon Rosset
Affiliations: Department of Statistics, Tel Aviv University, Tel Aviv, Israel, 69978
Conference: nips 2021 (main track)
Keywords: deep neural networks;high-cardinality;categorical features;random effects;mixed effects;likelihood;regression
Decision: Poster
Title: Learning where to learn: Gradient sparsity in meta and continual learning
Authors: Johannes von Oswald, Dominic Zhao, Seijin Kobayashi, Simon Schug, Massimo Caccia, Nicolas Zucchet, João Sacramento
Affiliations: Mila, University of Montreal & ServiceNow; Institute of Neuroinformatics, University of Zürich and ETH Zürich
Conference: nips 2021 (main track)
Keywords: meta-learning;continual learning;few-shot learning;deep learning;sparsity;sparse gradients
Decision: Poster
Title: Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Authors: Ferran Alet, Maria Bauza, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Kaelbling
Affiliations: MIT
Conference: nips 2021 (main track)
Keywords: meta-learning;inductive biases;self-supervised learning
Decision: Poster
Title: SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Authors: Sungmin Cha, beomyoung kim, YoungJoon Yoo, Taesup Moon
Affiliations: NA VER AI Lab, Face, NA VER Clova; Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2021 (main track)
Keywords: Class Incremental Semantic Segmentation;Unknown Class;Tiny Memory;Catastrophic Forgetting
Decision: Poster
Title: Why Do Better Loss Functions Lead to Less Transferable Features?
Authors: Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi
Affiliations: Google Research, Toronto; University of Michigan
Conference: nips 2021 (main track)
Keywords: transfer learning;representational similarity;class separation;training objectives;classification;supervised learning;label smoothing;dropout;centered kernel alignment
Decision: Poster
Title: No RL, No Simulation: Learning to Navigate without Navigating
Authors: Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James Rehg, Abhinav Gupta
Affiliations: Facebook AI Research; Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Navigation;Simulation;Graph Neural Networks;Embodied AI
Decision: Poster
Title: Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
Authors: Gabriel Ocker, Michael Buice
Affiliations: MindScope Program, Allen Institute, Seattle, WA 98109; Department of Mathematics and Statistics, Boston University, Boston, MA 02136
Conference: nips 2021 (main track)
Keywords: Hebbian learning;tensor decompositions;nonlinear synaptic plasticity
Decision: Poster
Title: Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
Authors: Travers Rhodes, Daniel Lee
Affiliations: Department of Electrical and Computer Engineering, Cornell Tech, Cornell University, New York, NY 10044; Department of Computer Science, Cornell Tech, Cornell University, New York, NY 10044
Conference: nips 2021 (main track)
Keywords: Representation Learning;Sparsity;Variational Auto-Encoders;Disentanglement;Regularization
Decision: Poster
Title: EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Authors: Peter Richtarik, Igor Sokolov, Ilyas Fatkhullin
Affiliations: KAUST*; KAUST; KAUST†& TU Munich
Conference: nips 2021 (main track)
Keywords: error feedback;distributed learning;communication compression;TopK;contractive compressor;distributed training;distributed optimization
Decision: Oral
Title: Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Authors: Nimita Shinde, Vishnu Narayanan, James Saunderson
Affiliations: Electrical and Computer Systems Engineering, Monash University, Clayton, Australia; Industrial Engineering and Operations Research, IIT Bombay, Mumbai, India; IITB-Monash Research Academy, Mumbai, India
Conference: nips 2021 (main track)
Keywords: Semidefinite programming;Max-k-Cut;correlation clustering;Convex optimization;Gaussian sampling
Decision: Poster
Title: Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Authors: Junho Kim, Byung-Kwan Lee, Yong Man Ro
Affiliations: School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: Adversarial Examples;Information Bottleneck;Feature Disentanglement;Feature Interpretation
Decision: Poster
Title: Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Authors: Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, Ying Tai
Affiliations: National Key Lab for Novel Software Technology, Nanjing University; Tencent Youtu Lab; RIKEN Center for Advanced Intelligence Project
Conference: nips 2021 (main track)
Keywords: deep learning;computer vision;blind kernel estimation;blind super-resolution
Decision: Poster
Title: Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Authors: Jai Moondra, Hassan Mortagy, Swati Gupta
Affiliations: Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Convex optimization;Conditional Gradients;Bregman Projections;Submodular base polytopes;Online learning
Decision: Poster
Title: Hierarchical Reinforcement Learning with Timed Subgoals
Authors: Nico Gürtler, Dieter Büchler, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: hierarchical reinforcement learning;reinforcement learning;subgoals;dynamic environments;long-horizon task;sparse reward;non-stationary SMDP
Decision: Poster