hunoutl/paperlists huggingface dataset:
Title: Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Authors: Goutham Rajendran, Bohdan Kivva, Ming Gao, Bryon Aragam
Affiliations: University of Chicago
Conference: nips 2021 (main track)
Keywords: structure learning;greedy algorithms;Bregman divergence;Bregman information;exponential families
Decision: Poster
Title: Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
Authors: Gonzalo Jaimovitch-Lopez, David Castellano Falcón, Cesar Ferri, José Hernández-Orallo
Affiliations: VRAIN - Universitat Politècnica de València, Leverhulme Centre for the Future of Intelligence - University of Cambridge; VRAIN - Universitat Politècnica de València
Conference: nips 2021 (main track)
Keywords: Humans and AI;Cognitive Systems;Explainability;Language Models;Inductive Programming;Occam's razor;Machine Teaching
Decision: Poster
Title: Improving black-box optimization in VAE latent space using decoder uncertainty
Authors: Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
Affiliations: Department of Computer Science, University of Oxford, Oxford, UK; Department of Engineering, University of Cambridge, Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Optimization;Uncertainty;High dimensionality;Discrete data;Variational autoencoder;Generative models;Molecule generation
Decision: Poster
Title: SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Authors: Muhammad Akhtar Munir, Muhammad Haris Khan, M. Sarfraz, Mohsen Ali
Affiliations: Information Technology University of Punjab; Karlsruhe Institute of Technology, Daimler TSS; Mohamed bin Zayed University of Artiﬁcial Intelligence
Conference: nips 2021 (main track)
Keywords: domain adaptation;uncertainty;deep learning
Decision: Poster
Title: Distributed Machine Learning with Sparse Heterogeneous Data
Authors: Dominic Richards, Sahand Negahban, Patrick Rebeschini
Affiliations: Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB; Department of Statistics and Data Science, Yale University, 24 Hillhouse Ave., New Haven, CT 06510
Conference: nips 2021 (main track)
Keywords: Distributed Machine Learning;Heterogeneous Data;Federated Machine Learning
Decision: Poster
Title: Automatic Data Augmentation for Generalization in Reinforcement Learning
Authors: Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
Affiliations: New York University; New York University, Facebook AI Research
Conference: nips 2021 (main track)
Keywords: reinforcement learning;generalization;data augmentation;automatic machine learning
Decision: Poster
Title: Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
Authors: Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming Lin
Affiliations: University of Memphis, Memphis, TN 38152, wli@memphis.edu; University of Maryland, College Park, MD 20742, tomg@cs.umd.edu; University of Maryland, College Park, MD 20742, manlis@umd.edu; University of Maryland, College Park, MD 20742, yushen@umd.edu; University of Maryland, College Park, MD 20742, lyzheng@umd.edu; University of Maryland, College Park, MD 20742, lin@cs.umd.edu
Conference: nips 2021 (main track)
Keywords: robustness;autonomous driving
Decision: Poster
Title: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Authors: Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Korea Advanced Institute of Science and Technology
Conference: nips 2021 (main track)
Keywords: imitation learning;behavioral cloning;causal confusion;regularization
Decision: Poster
Title: Overlapping Spaces for Compact Graph Representations
Authors: Kirill Shevkunov, Liudmila Prokhorenkova
Affiliations: Yandex Research, MIPT, HSE University, Moscow, Russia; Yandex, MIPT, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: graph embedding;hyperbolic space;product space;overlapping space
Decision: Poster
Title: Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Authors: Jérôme Bolte, Tam Le, Edouard Pauwels, Tony Silveti-Falls
Affiliations: IRIT, CNRS, Univ. Toulouse, Toulouse, France; Toulouse School of Economics, Univ. Toulouse, Toulouse, France
Conference: nips 2021 (main track)
Keywords: Implicit differentiation;algorithmic differentiation;nonsmooth optimization;deep learning;conservative fields.
Decision: Poster
Title: DOCTOR: A Simple Method for Detecting Misclassification Errors
Authors: Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
Affiliations: Sapienza University of Rome; Lix, Inria, Institute Polytechnique de Paris, Sapienza University of Rome; Lix, Inria, Institute Polytechnique de Paris; L2S, CentraleSupélec, CNRS, Université Paris Saclay
Conference: nips 2021 (main track)
Keywords: AI Safety;Algorithms Evaluation;Deep Learning;misclassification detection;out-of-distribution
Decision: Spotlight
Title: Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Authors: Yifei Min, Tianhao Wang, Dongruo Zhou, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, CA 90095; Department of Statistics and Data Science, Yale University, CT 06511
Conference: nips 2021 (main track)
Keywords: off-policy evaluation;offpolicy;reinforcement learning;linear function approximation
Decision: Poster
Title: Mitigating Forgetting in Online Continual Learning with Neuron Calibration
Authors: Haiyan Yin, peng yang, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, 10900 NE 8th St. Bellevue, WA 98004, USA
Conference: nips 2021 (main track)
Keywords: Continual Learning;Online Learning;Deep Learning
Decision: Poster
Title: A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
Authors: Nathaniel Lahn, Sharath Raghvendra, Jiacheng Ye
Affiliations: Department of Computer Science, Virginia Tech Blacksburg, V A 24061; School of Computing and Information Sciences, Radford University, Radford, V A 24142
Conference: nips 2021 (main track)
Keywords: bipartite matching;Wasserstein distance;Levy-Prokhorov distance;bottleneck matching;unit disc graph matching
Decision: Poster
Title: Breaking the centralized barrier for cross-device federated learning
Authors: Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank Reddi, Sebastian Stich, Ananda Theertha Suresh
Affiliations: EPFL; Google Research
Conference: nips 2021 (main track)
Keywords: Federated Learning;Non-convex Optimization;Distributed Optimization;Communication Complexity
Decision: Poster
Title: Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Authors: Bruno Andreis, Jeffrey Willette, Juho Lee, Sung Ju Hwang
Affiliations: KAIST and AITRICS, South Korea; KAIST, South Korea
Conference: nips 2021 (main track)
Keywords: Mini-Batch Consistency;Set Encoding;Point Clouds
Decision: Poster
Title: SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Authors: Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren
Affiliations: IIT Delhi; University of Southern California
Conference: nips 2021 (main track)
Keywords: explainability;interpretability;knowledge graph;question answering;commonsense reasoning;language model
Decision: Poster
Title: Influence Patterns for Explaining Information Flow in BERT
Authors: Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta
Affiliations: Electrical and Computer Engineering, Carnegie Mellon University, Mountain View, CA 94089
Conference: nips 2021 (main track)
Keywords: BERT;interpretability;attention;information flow;Transformers
Decision: Poster
Title: Distributed Deep Learning In Open Collaborations
Authors: Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, quentin lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
Affiliations: ♣Moscow Institute of Physics and Technology, Russia; ‡Hugging Face, USA; ♦University of Toronto, Canada; †Yandex, Russia; ♥HSE University, Russia
Conference: nips 2021 (main track)
Keywords: distributed training;volunteer computing;heterogeneous hardware;self-supervised pretraining;transfer learning
Decision: Poster
Title: ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
Affiliations: Université de Montréal & Mila; McGill University & Mila; TU Darmstadt & Mila; Environment and Climate Change Canada
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: climate modeling;atmospheric modeling;radiative transfer;climate change;emulators
Decision: Poster
Title: Black Box Probabilistic Numerics
Authors: Onur Teymur, Christopher Foley, Philip Breen, Toni Karvonen, Chris Oates
Affiliations: University of Kent, Alan Turing Institute; University of Helsinki, Alan Turing Institute; University of Cambridge, Optima Partners; Newcastle University, Alan Turing Institute; Roar AI
Conference: nips 2021 (main track)
Keywords: Bayesian Statistics;Probabilistic Numerical Methods;Numerical Analysis;Algorithms;Gaussian Processes
Decision: Poster
Title: FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark
Affiliations: School of Computing Technologies, RMIT University; School of ISE, Sun Yat-Sen University, Peng Cheng National Lab; Department of Data Science and Artificial Intelligence, Monash University; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: medical report generation;vision and language;fundus fluorescein angiography;explaibable and reliable evaluation
Decision: Poster
Title: Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Authors: Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
Affiliations: Huawei Noah’s Ark Lab; Skolkovo Institute of Science and Technology, Moscow, Russia; CNRS, IMJ, Paris University, France; Skolkovo Institute of Science and Technology, Artiﬁcial Intelligence Research Institute (AIRI), Moscow, Russia; Skolkovo Institute of Science and Technology, Moscow, Russia; Moscow Institute of Physics and Technology, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: data manifolds;point clouds;persistent homology;topology;generative models;generative adversarial networks;mode-dropping;3D-shapes;time-series
Decision: Poster
Title: ATOM3D: Tasks on Molecules in Three Dimensions
Affiliations: Bioengineering, Genetics, Medicine, Stanford University; Applied Physics, Stanford University; Chemistry, Stanford University; Biomedical Informatics, Stanford University; Computer Science, Stanford University; Computer Science, Statistics, University of Chicago; Computer Science, University of Chicago
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: machine learning;structural biology;biomolecules
Decision: Poster
Title: Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Authors: Michael Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Teh, Marc Deisenroth
Affiliations: University of Cambridge; University of Oxford; Centre for Artiﬁcial Intelligence, University College London; St. Petersburg State University
Conference: nips 2021 (main track)
Keywords: Gaussian processes;Riemannian manifolds;gauge independence
Decision: Poster
Title: Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Authors: Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro
Affiliations: University of Chicago; TTI-Chicago; MIT; UBC and Amii
Conference: nips 2021 (main track)
Keywords: interpolation learning;uniform convergence;double descent;statistical learning theory
Decision: Oral
Title: Demystifying and Generalizing BinaryConnect
Authors: Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia
Affiliations: Huawei Noah’s Ark Lab; University of Waterloo
Conference: nips 2021 (main track)
Keywords: neural network quantization;binary connect;generalized conditional gradient;proximal connect
Decision: Poster
Title: Learning with User-Level Privacy
Authors: Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
Affiliations: Stanford University; Cornell University; Google Research, Courant Institute; Google Research
Conference: nips 2021 (main track)
Keywords: privacy;user-level;optimization;sco;learning;minimax;lower bounds;differential privacy
Decision: Poster
Title: What Would Jiminy Cricket Do? Towards Agents That Behave Morally
Authors: Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
Affiliations: UIUC; UC Berkeley
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Transformers;RL;data bias;reward bias;machine ethics;value learning;safe exploration
Decision: Poster
Title: Adaptive Data Augmentation on Temporal Graphs
Authors: Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
Affiliations: Nanyang Technological University; National University of Singapore; ByteDance
Conference: nips 2021 (main track)
Keywords: Data Augmentation;Temporal Graphs;Graph Neural Networks
Decision: Poster
Title: Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
Authors: HanQin Cai, Jialin Liu, Wotao Yin
Affiliations: Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Decision Intelligence Lab, Damo Academy, Alibaba US, Bellevue, WA 98004, USA
Conference: nips 2021 (main track)
Keywords: Robust PCA;Outlier Detection;Deep Unfolding;Learning to Optimize;Video Background Subtraction;Ultrasound Imaging
Decision: Poster
Title: Cortico-cerebellar networks as decoupling neural interfaces
Authors: Joseph Pemberton, Ellen Boven, Richard Apps, Rui Ponte Costa
Affiliations: Bristol Computational Neuroscience Unit, School of Phys., Pharm. and Neuroscience, University of Bristol, UK; School of Phys., Pharm. and Neuroscience, University of Bristol, UK; Bristol Computational Neuroscience Unit, Dept. of Computer Science, SCEEM, University of Bristol, UK
Conference: nips 2021 (main track)
Keywords: Cortico-cerebellar loop;cerebellar function;decoupled neural interfaces;locking problem;temporal credit assignment;RNNs
Decision: Poster
Title: Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Authors: Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
Affiliations: Department of Statistics, University of Chicago, Chicago, IL, 60637; Department of EECS, UC Berkeley, Berkeley, CA, 94709
Conference: nips 2021 (main track)
Keywords: Reinforcement learning theory;offline reinforcement learning;imitation learning;lower confidence bound (LCB);minimax optimality
Decision: Poster
Title: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Authors: Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
Affiliations: Dalian Maritime University; Noah’s Ark Lab, Huawei; College of Intelligence and Computing, Tianjin University; NetEase Fuxi AI Lab
Conference: nips 2021 (main track)
Keywords: multiagent reinforcement learning;transfer learning;reinforcement learning;option;succesor representation
Decision: Poster
Title: DeepGEM: Generalized Expectation-Maximization for Blind Inversion
Authors: Angela Gao, Jorge Castellanos, Yisong Yue, Zachary Ross, Katherine Bouman
Affiliations: Computing and Mathematical Sciences, California Institute of Technology; Caltech Seismological Laboratory, California Institute of Technology
Conference: nips 2021 (main track)
Keywords: inverse problem;computational imaging;seismic tomography
Decision: Poster
Title: PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Authors: Zimin Chen, Vincent J Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra
Affiliations: Google Research, Montreal, Canada; Carnegie Mellon University, Pittsburgh, USA; Google Research, Mountain View, USA; KTH Royal Institute of Technology, Stockholm, Sweden
Conference: nips 2021 (main track)
Keywords: learning for code;program understanding;program repair;relation-aware transformers;graph-based deep learning
Decision: Spotlight
Title: Optimality and Stability in Federated Learning: A Game-theoretic Approach
Authors: Kate Donahue, Jon Kleinberg
Affiliations: Departments of Computer Science and Information Science, Cornell University; Department of Computer Science, Cornell University
Conference: nips 2021 (main track)
Keywords: Price of Anarchy;Price of Stability;cooperative game theory;hedonic game theory;federated learning
Decision: Poster
Title: Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Authors: Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
Affiliations: NVIDIA; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: 3D Deep Learning;3D Super-Resolution;3D Content Creation;3D Shape Representation
Decision: Poster
Title: Convergence of adaptive algorithms for constrained weakly convex optimization
Authors: Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Affiliations: University of Wisconsin-Madison; EPFL; Linköping University
Conference: nips 2021 (main track)
Keywords: adaptive gradient algorithms;weakly convex optimization;AMSGrad;Adam
Decision: Poster
Title: Ranking Policy Decisions
Authors: Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening
Affiliations: University of Cambridge, UK; Queen’s University Belfast, UK; causaLens and King’s College London, UK; Amazon, UK
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Explainable AI;Statistical Fault Localization
Decision: Poster
Title: Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Authors: Yunhao Tang, Tadashi Kozuno, Mark Rowland, Remi Munos, Michal Valko
Affiliations: DeepMind London; DeepMind Paris; University of Alberta; Columbia University
Conference: nips 2021 (main track)
Keywords: meta learning;reinforcement learning;off-policy learning;off-policy evaluation
Decision: Poster
Title: PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Authors: Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen
Affiliations: Microsoft Research Asia; University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: Reinforcement learning;data efficiency;representation learning;augmentation;virtual trajectory;cycle consistency
Decision: Poster
Title: Deep Extended Hazard Models for Survival Analysis
Authors: Qixian Zhong, Jonas Mueller, Jane-Ling Wang
Affiliations: Amazon Web Services; Department of Statistics and Data Science, School of Economics and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University; Department of Statistics, UC Davis
Conference: nips 2021 (main track)
Keywords: brier score;convergence rate;curse of dimensionality
Decision: Poster
Title: Luna: Linear Unified Nested Attention
Authors: Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
Affiliations: Facebook AI; LTI, CMU; ISI, USC
Conference: nips 2021 (main track)
Keywords: Efficient Attention;Transformer;Linear Attention
Decision: Poster
Title: Adversarial Intrinsic Motivation for Reinforcement Learning
Authors: Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX, USA 78703; Department of Computer Science, The University of Texas at Austin, Austin, TX, USA 78703; Department of Computer Science, The University of Texas at Austin, Austin, TX, USA 78703 and Sony AI
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Intrinsic Motivation;Distribution Mismatch;Wasserstein distance
Decision: Poster
Title: Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Authors: Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, ZHIPENG HU, Yaodong Yang
Affiliations: Netease Fuxi AI Lab; Shanghai Jiao Tong University; Institute for AI, Peking University
Conference: nips 2021 (main track)
Keywords: reinforcememt learning;multi-agent learning;diverse policies
Decision: Poster
Title: Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Authors:  Jayadev Acharya Cornell University acharya@cornell.edu "3026 Clément L. Canonne University of Sydney clement.canonne@sydney.edu.au "3026 Yuhan Liu Cornell University yl2976@cornell.edu "3026 Ziteng Sun Cornell University zs335@cornell.edu "3026 Himanshu Tyagi Indian Institute of Science htyagi@iisc.ac.in 
Affiliations: Indian Institute of Science; Cornell University; University of Sydney
Conference: nips 2021 (main track)
Keywords: density estimation;distributed algorithms;communication constraints;probability distributions;statistical rates
Decision: Poster
Title: A Regression Approach to Learning-Augmented Online Algorithms
Authors: K. Anand, R. Ge, A. Kumar, D. Panigrahi
Affiliations: Department of Computer Science, Indian Institute of Technology, Hauz Khas, New Delhi - 110016; Department of Computer Science, Duke University, Durham, NC 27705
Conference: nips 2021 (main track)
Keywords: Learning Aided Algorithm Design;learning augmented online algorithms;learning theory;Optimization;Algorithms under uncertainty
Decision: Poster
Title: Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
Authors: Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
Affiliations: Department of Bio and Brain Engineering, Kim Jaechul Graduate School of AI, Deptartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST); Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: Federated learning;Split learning;Vision Transformer;COVID-19;Multi-task learning
Decision: Poster
Title: Glance-and-Gaze Vision Transformer
Authors: Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan Yuille, Wei Shen
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Department of Computer Science, Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: Vision Transformer;Image Classification;Semantic Segmentation;Object Detection
Decision: Poster
Title: Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task
Affiliations: SDA Research Group, University of Bonn, Germany; SDA Research Group, University of Bonn, Germany; Fraunhofer IAIS, Dresden, Germany; Fraunhofer IAIS, Dresden, Germany; Universidad Privada Boliviana, Bolivia
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Machine Learning;Knowledge Graphs Embedding;Link Prediction;Benchmarking;Dataset;Relational Pattern;Inductive;Transductive;Representation Learning
Decision: Poster
Title: Stochastic Bias-Reduced Gradient Methods
Authors: Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford
Affiliations: Stanford University; Tel Aviv University
Conference: nips 2021 (main track)
Keywords: convex optimization;algorithms;monte carlo;debiasing;accelerated gradient methods;privacy;optimal methods;complexity;theory
Decision: Poster