hunoutl/paperlists huggingface dataset:
Title: LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Authors: Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi
Affiliations: Google Research India; University of Washington
Conference: nips 2021 (main track)
Keywords: Classification;Efficient Classification;Error Correcting Output Codes;Binary Codes;Retrieval;Large-scale Classification
Decision: Poster
Title: Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Authors: Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier
Affiliations: Department of Computer Science, Paderborn University, Paderborn, Germany; Institute of Informatics, University of Munich (LMU), Munich, Germany
Conference: nips 2021 (main track)
Keywords: Best arm identification;Condorcet Winner;Dvoretzky–Kiefer–Wolfowitz inequality;Multi-armed Bandits;Preference Learning
Decision: Poster
Title: Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Authors: Desi R Ivanova, Adam Foster, Steven Kleinegesse, Michael Gutmann, Thomas Rainforth
Affiliations: School of Informatics, University of Edinburgh; Department of Statistics, University of Oxford
Conference: nips 2021 (main track)
Keywords: Experimental Design;Mutual Information;Implicit Models;Bayesian methods;Bayesian Optimal Experimental Design;BOED;Sequential BOED;Adaptive experiments;Likelihood-free methods;Likelihood-free inference;Parameter estimation;Variational methods;Mutual information lower bounds;Stochastic simulator models
Decision: Poster
Title: Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Authors: Mengmeng Xu, Juan Manuel Perez Rua, Xiatian Zhu, Bernard Ghanem, Brais Martinez
Affiliations: Samsung AI Centre Cambridge, UK; Samsung AI Centre Cambridge, UK; King Abdullah University of Science and Technology, Saudi Arabia; King Abdullah University of Science and Technology, Saudi Arabia
Conference: nips 2021 (main track)
Keywords: End-to-End Pre-training;Temporal Action Localization
Decision: Poster
Title: Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
Authors: Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Alibaba DAMO Academy, Hangzhou, China; Dept. of ISEM, National University of Singapore, Republic of Singapore; Institute for Infocomm Research, A*STAR, Republic of Singapore
Conference: nips 2021 (main track)
Keywords: Reinforcement learning;federated learning;Byzantine-tolerant optimization
Decision: Poster
Title: Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Authors: Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab, IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland; The Swiss AI Lab, IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland and King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Conference: nips 2021 (main track)
Keywords: Transformers;memory augmented recurrent neural networks;fast weight programmers
Decision: Poster
Title: Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Authors: Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
Affiliations: ETH Zürich, Max Planck ETH Center for Learning Systems
Conference: nips 2021 (main track)
Keywords: hessian;rank;neural networks;overparameterization;degeneracy;singularity;loss landscape;degrees of freedom
Decision: Poster
Title: On the Value of Infinite Gradients in Variational Autoencoder Models
Authors: Bin Dai, Li Wenliang, David Wipf
Affiliations: Shanghai AI Research Lab, Amazon Web Services; Gatsby Computational Neuroscience Unit, University College London; Institue for Advanced Study, Tsinghua University
Conference: nips 2021 (main track)
Keywords: variational autoencoders;sparse representations;latent variable models
Decision: Spotlight
Title: Controlling Neural Networks with Rule Representations
Authors: Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Affiliations: Google Cloud AI, Sunnyvale, CA, USA
Conference: nips 2021 (main track)
Keywords: Controlling neural networks;Incorporating rules;Unsupervised adaptation
Decision: Poster
Title: Efficient Truncated Linear Regression with Unknown Noise Variance
Authors: Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Emmanouil Zampetakis
Affiliations: EECS, UC Berkeley; EECS and CSAIL, MIT
Conference: nips 2021 (main track)
Keywords: regression;theory of computation;truncated statistics;linear regression;truncation bias;stochastic gradient descent;asymptotic normality
Decision: Poster
Title: Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Authors: Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
Affiliations: Georgia Institute of Technology; National University of Singapore; University of Denver; Microsoft; Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: model compression;structured pruning;group sparsity
Decision: Poster
Title: Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
Authors: Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar
Affiliations: Hewlett Packard Enterprise; Carnegie Mellon University; Carnegie Mellon University & Hewlett Packard Enterprise
Conference: nips 2021 (main track)
Keywords: federated learning;hyperparameter optimization;meta-learning;personalization
Decision: Poster
Title: STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
Authors: Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
Affiliations: Hikvision Research Institute, Hangzhou, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2021 (main track)
Keywords: weakly supervised learning;semi-supervised learning;out-of-distribution detection
Decision: Poster
Title: SNIPS: Solving Noisy Inverse Problems Stochastically
Authors: Bahjat Kawar, Gregory Vaksman, Michael Elad
Affiliations: Computer Science Department, Technion, Haifa, Israel
Conference: nips 2021 (main track)
Keywords: Inverse Problems;Image Restoration;Denoising;Langevin Dynamics;Diffusion;Super Resolution;Deblurring;Compressive Sensing
Decision: Poster
Title: Learning Collaborative Policies to Solve NP-hard Routing Problems
Authors: Minsu Kim, Jinkyoo Park, joungho kim
Affiliations: Dept. Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST); School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: Deep reinforcement learning;NP-hard;Policy collaboration;Hierarchical solving strategy
Decision: Poster
Title: Rebounding Bandits for Modeling Satiation Effects
Authors: Liu Leqi, Fatma Kilinc Karzan, Zachary Lipton, Alan Montgomery
Affiliations: Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2021 (main track)
Keywords: Bandits;Boredom;Satiation;Recommender Systems;Dynamical Systems
Decision: Poster
Title: Representation Costs of Linear Neural Networks: Analysis and Design
Authors: Zhen Dai, Mina Karzand, Nathan Srebro
Affiliations: Committee on Computational and Applied Mathematics, University of Chicago, Chicago, IL 60637; Department of Statistics, University of California, Davis, Davis, CA 95616; Toyota Technological Institute at Chicago, Chicago, IL 60637
Conference: nips 2021 (main track)
Keywords: Overparameterized Learning;Regularization;Representation Cost;Linear Neural Networks
Decision: Poster
Title: Improving Conditional Coverage via Orthogonal Quantile Regression
Authors: Shai Feldman, Stephen Bates, Yaniv Romano
Affiliations: Departments of Statistics and of EECS, UC Berkeley; Department of Computer Science, Technion, Israel; Departments of Electrical and Computer Engineering and of Computer Science, Technion, Israel
Conference: nips 2021 (main track)
Keywords: Quantile Regression;Pinball Loss;Conditional Coverage;Conformal Prediction;Uncertainty Estimation
Decision: Poster
Title: Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Authors: Robin Winter, Frank Noe, Djork-Arné Clevert
Affiliations: Bayer AG, Freie Universität Berlin; Freie Universität Berlin; Bayer AG
Conference: nips 2021 (main track)
Keywords: variational autoencoder;permutation invariance;graph;self-attention;representation learning;graph autoencoder
Decision: Poster
Title: Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
Affiliations: Department of CSE, HKUST; Department of Mathematical Sciences, Tsinghua University; Department of CSE, HKUST; Peng Cheng Laboratory, Shenzhen, China
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: knowledge graph;complex query;logical query
Decision: Poster
Title: Non-Gaussian Gaussian Processes for Few-Shot Regression
Authors: Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemysław Spurek, Maciej Zieba
Affiliations: University of Cambridge; Jagiellonian University; Jagiellonian University, Warsaw University of Technology, Tooploox; Wrocław University of Science and Technology, Tooploox
Conference: nips 2021 (main track)
Keywords: Meta-Learning;Few-Shot Learning;Few-Shot Regression;Normalizing Flows;Gaussian Processes
Decision: Poster
Title: An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Authors: Karl Otness, Arvi Gjoka, Joan Bruna, Daniele Panozzo, Benjamin Peherstorfer, Teseo Schneider, Denis Zorin
Affiliations: University of Victoria; Courant Institute of Mathematical Sciences, New York University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Scientific Computing;Physics and ML;Numerical Integration;Physical Simulation
Decision: Poster
Title: Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Authors: Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
Affiliations: DAMO Academy, Alibaba Group, Hangzhou, China
Conference: nips 2021 (main track)
Keywords: interpretable;rule set;submodular;rule-based model
Decision: Spotlight
Title: Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Authors: Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Affiliations: Siemens Technology, Princeton, NJ 08536, USA.
Conference: nips 2021 (main track)
Keywords: Deep Model Learning;Physics-based Priors;Contact Models
Decision: Poster
Title: Continuous Mean-Covariance Bandits
Authors: Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
Affiliations: CST, Tsinghua University, Beijing, China; IIIS, Tsinghua University, Beijing, China; IIIS, Tsinghua University, Beijing, China; Shanghai Qi Zhi Institute, Shanghai, China
Conference: nips 2021 (main track)
Keywords: risk-aware bandits;mean-covariance metric
Decision: Poster
Title: COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Authors: Yu Meng, Chenyan Xiong, Payal Bajaj, saurabh tiwary, Paul Bennett, Jiawei Han, XIA SONG
Affiliations: University of Illinois at Urbana-Champaign; Microsoft
Conference: nips 2021 (main track)
Keywords: Language Model Pretraining
Decision: Poster
Title: How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Authors: Xinshuai Dong, Anh Tuan Luu, Min Lin, Shuicheng Yan, Hanwang Zhang
Affiliations: Nanyang Technological University & Sea AI Lab; Nanyang Technological University; Sea AI Lab
Conference: nips 2021 (main track)
Keywords: Natural Language Processing;Pre-trained Language Models;Adversarial Robustness
Decision: Poster
Title: ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Affiliations: Research Center for SCIR, Harbin Institute of Technology, Harbin, China; iFLYTEK AI Research (Hebei), Langfang, China; State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, China
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: reading comprehension;question answering;explainable AI
Decision: Reject
Title: Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Authors: Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
Affiliations: University of Chinese Academy of Sciences; Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Huawei Inc.; Beijing Institute of Technology
Conference: nips 2021 (main track)
Keywords: Rotated Object Detection;High-Precision;Kullback-Leibler Divergence
Decision: Poster
Title: EditGAN: High-Precision Semantic Image Editing
Authors: Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
Affiliations: NVIDIA; MIT; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: generative adversarial networks;image editing
Decision: Poster
Title: Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Authors: Ankit Garg, Robin Kothari, Praneeth Netrapalli, Suhail Sherif
Affiliations: Microsoft Research India, Bengaluru, KA, India; Google Research India, Bengaluru, KA, India; Microsoft Quantum and Microsoft Research, Redmond, WA, USA; Vector Institute, Toronto, ON, Canada
Conference: nips 2021 (main track)
Keywords: Convex optimization;Oracle complexity;Lower bounds;Acceleration
Decision: Spotlight
Title: Remember What You Want to Forget: Algorithms for Machine Unlearning
Authors: Ayush Sekhari, Jayadev Acharya, Gautam Kamath, Ananda Theertha Suresh
Affiliations: Cornell University; Google Research, NY; University of Waterloo
Conference: nips 2021 (main track)
Keywords: Machine unlearning;theory;differential privacy;generalization guarantee;right to be forgotten
Decision: Poster
Title: Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Authors: Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
Affiliations: Graphcore Research, UK
Conference: nips 2021 (main track)
Keywords: Batch-Independent Normalization;Batch Normalization;Layer Normalization;Group Normalization;Instance Normalization;Deep Learning Theory;CNNs;ResNets;ResNeXts;EfficientNets
Decision: Poster
Title: KLUE: Korean Language Understanding Evaluation
Affiliations: ; New York University; Sogang University; Yonsei University; Hanbat National University; Scatter Lab; Riiid; NAVER AI Lab; Upstage; Seoul National University; Kyung Hee University; KAIST; Kakao Enterprise
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Korean Natural Language Understanding Benchmarks;Pre-trained Korean Language Models
Decision: Poster
Title: Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Authors: Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Fredo Durand
Affiliations: MIT CSAIL; MIT CSAIL, IAFI; MIT CSAIL, MIT BCS, CBMM; Columbia University
Conference: nips 2021 (main track)
Keywords: Neural Fields;Neural Scene Representations;Neural Implicit Representations;Coordinate-based representations;Neural Rendering;Light Fields
Decision: Spotlight
Title: Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Authors: Danruo DENG, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng
Affiliations: College of Intelligence and Computing, Tianjin University; The Chinese University of Hong Kong, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; The Chinese University of Hong Kong; Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Conference: nips 2021 (main track)
Keywords: continual learning;weight loss landscape;dynamic gradient projection memory;sharpness flatten
Decision: Poster
Title: On the Out-of-distribution Generalization of Probabilistic Image Modelling
Authors: Mingtian Zhang, Andi Zhang, Steven McDonagh
Affiliations: Huawei Noah’s Ark Lab; AI Center, University College London; Huawei Noah’s Ark Lab, Department of Computer Science and Technology, University of Cambridge
Conference: nips 2021 (main track)
Keywords: OOD detection;OOD generalizationm;Lossless compression;Generative model
Decision: Poster
Title: How to transfer algorithmic reasoning knowledge to learn new algorithms?
Authors: Louis-Pascal Xhonneux, Andreea-Ioana Deac, Petar Veličković, Jian Tang
Affiliations: Université de Montréal, Mila; HEC Montréal, Mila; DeepMind, London UK
Conference: nips 2021 (main track)
Keywords: Learning algorithms;Transfer;Graph Neural Networks
Decision: Poster
Title: Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Authors: Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Affiliations: University of Virginia; The Hong Kong University of Science and Technology; The Pennsylvania State University
Conference: nips 2021 (main track)
Keywords: Multi-agent System;Multi-armed Bandits;Decentralized Learning
Decision: Poster
Title: Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Authors: Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;Reinforcement Learning Theory;Value Factorization;Fitted Q-Iteration
Decision: Poster
Title: Post-processing for Individual Fairness
Authors: Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
Affiliations: IBM Research, MIT-IBM Watson AI Lab; University of Konstanz; University of Michigan
Conference: nips 2021 (main track)
Keywords: algorithmic fairness;graph Laplacian;post-processing;fairness;individual fairness
Decision: Poster
Title: Parametrized Quantum Policies for Reinforcement Learning
Authors: Sofiene Jerbi, Casper Gyurik, Simon Marshall, Hans Briegel, Vedran Dunjko
Affiliations: LIACS, Leiden University; Institute for Theoretical Physics, University of Innsbruck
Conference: nips 2021 (main track)
Keywords: reinforcement learning;quantum computing;parametrized quantum circuits;quantum neural networks;policy gradient;quantum machine learning;quantum reinforcement learning;quantum;variational quantum circuits
Decision: Poster
Title: Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Affiliations: University of Oxford; ALTA Institute, University of Cambridge; Yandex, Moscow Institute of Physics and Technology; Yandex, HSE University, Moscow Institute of Physics and Technology; Yandex, HSE University; Yandex; University of Oxford, Alan Turing Institute
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Distributional shift;uncertainty;robustness;tabular data;machine translation;vehicle motion prediction;dataset and baselines
Decision: Poster
Title: List-Decodable Mean Estimation in Nearly-PCA Time
Authors: Ilias Diakonikolas, Daniel Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian
Affiliations: Microsoft Research, Redmond, WA 98052; Department of Mathematics, University of California, San Diego, La Jolla, CA 92093; Department of Computer Science, University of California, San Diego, La Jolla, CA 92093; Department of Computer Science, University of Wisconsin, Madison, Madison, WI 53706; Department of Computer Science, Stanford University, Stanford, CA 94305
Conference: nips 2021 (main track)
Keywords: robust statistics;learning theory;mixture models;semidefinite programming;list-decodable learning
Decision: Spotlight
Title: Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
Authors: Robert Lieck, Martin Rohrmeier
Affiliations: Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Bayesian networks;graphical models;probabilistic context-free grammars;structure learning;parsing;mixed discrete-continuous;sequence models;tree induction
Decision: Poster
Title: Post-Training Sparsity-Aware Quantization
Authors: Gil Shomron, Freddy Gabbay, Samer Kurzum, Uri Weiser
Affiliations: Technion — Israel Institute of Technology, Haifa, Israel; Ruppin Academic Center, Emek Hefer, Israel
Conference: nips 2021 (main track)
Keywords: quantization;post-training;hardware;systolic array;tensor core;performance;sparsity
Decision: Poster
Title: It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
Affiliations: Brown University; University of California, Berkeley; American Civil Liberties Union (ACLU); Twitter; Wellesley College; Stanford University; PR Analytics, Inc. (PRA)
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: AI fairness;ai;machine learning;algorithmic fairness;risk assessment;benchmark;criminal justice;COMPAS
Decision: Poster
Title: A Biased Graph Neural Network Sampler with Near-Optimal Regret
Authors: Qingru Zhang, David Wipf, Quan Gan, Le Song
Affiliations: Georgia Institute of Technology; Amazon Shanghai AI Lab; Mohamed bin Zayed University of Artiﬁcial Intelligence
Conference: nips 2021 (main track)
Keywords: Graph Neural Network;Neighbor Sampling;Multi-Armed Bandit
Decision: Poster
Title: MAU: A Motion-Aware Unit for Video Prediction and Beyond
Authors: Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xiang Xinguang, Wen Gao
Affiliations: Institute of Digital Media, Peking University; School of Computer Science and Technology, University of Chinese Academy of Sciences; University of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences; Alibaba Group; Institute of Digital Media, Peking University, University of Chinese Academy of Sciences; School of Computer Science and Engineering, Nanjing University of Science and Technology; Institute of Digital Media, Information Technology R&D Innovation Center, Peking University
Conference: nips 2021 (main track)
Keywords: Temporal receptive field;motion-aware;attention mechanism;video prediction
Decision: Poster
Title: SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
Authors: Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong Zhang
Affiliations: Worcester Polytechnic Institute, Worcester, MA 01609
Conference: nips 2021 (main track)
Keywords: recurrent neural networks;stochastic bilevel optimization;training stability
Decision: Poster
Title: Accurately Solving Rod Dynamics with Graph Learning
Authors: Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Soeren Pirk, Dominik L Michels
Affiliations: RWTH Aachen University; KAUST; Google Research; AMU
Conference: nips 2021 (main track)
Keywords: Dynamical Systems;Representation Learning
Decision: Poster
Title: Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
Authors: Jungwuk Park, Dong-Jun Han, Minseok Choi, Jaekyun Moon
Affiliations: KAIST; Jeju National University
Conference: nips 2021 (main track)
Keywords: Federated Learning;Stragglers;Adversaries
Decision: Poster
Title: A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Authors: Anand Kalvit, Assaf Zeevi
Affiliations: Columbia University, New York, USA
Conference: nips 2021 (main track)
Keywords: multi-armed bandits;learning algorithms;UCB;Thompson Sampling;minimax regret;diffusion approximation;distribution of arm-pulls
Decision: Spotlight