hunoutl/paperlists huggingface dataset:
Title: Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
Authors: Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash
Affiliations: EPFL; ETH AI Center & ETH Zurich; ETH Zurich
Conference: nips 2022 (main track)
Keywords: stochastic optimization;nonconvex optimization;first order method;Kurdyka-Lojasiewicz condition;variance reduction
Decision: Poster
Title: Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
Authors: Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai
Affiliations: Department of Computer Science, The University of Texas at Austin; Department of Electrical and Computer Engineering, The University of Texas at Austin
Conference: nips 2022 (main track)
Decision: Poster
Title: Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Authors: Ron Fisher, Dan Garber
Affiliations: Technion - Israel Institute of Technology, Haifa, Israel 3200003
Conference: nips 2022 (main track)
Keywords: subspace recovery;principal component analysis;convex optimization;Frank-Wolfe;low-rank;robust PCA;nonconvex optimization;strict complementarity;first-order methods
Decision: Poster
Title: Deep Bidirectional Language-Knowledge Graph Pretraining
Authors: Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang, Jure Leskovec
Affiliations: Stanford University; EPFL
Conference: nips 2022 (main track)
Keywords: pretraining;language model;knowledge graph;question answering;commonsense;reasoning;foundation model;self-supervised learning;biomedical
Decision: Poster
Title: Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Authors: Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
Affiliations: Department of Computer Science, University of Maryland
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Scalability;Tensor Sketch;Sublinear Complexity
Decision: Poster
Title: Joint Entropy Search For Maximally-Informed Bayesian Optimization
Authors: Carl Hvarfner, Frank Hutter, Luigi Nardi
Affiliations: Lund University; University of Freiburg, Bosch Center for Artificial Intelligence; Lund University, Stanford University
Conference: nips 2022 (main track)
Keywords: Bayesian Optimization;Entropy Search;Hyperparameter Optimization;AutoML
Decision: Poster
Title: SegViT: Semantic Segmentation with Plain Vision Transformers
Authors: Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan liu
Affiliations: South China University of Technology, China; Zhejiang University, China; The University of Adelaide, Australia; Meituan Inc.
Conference: nips 2022 (main track)
Keywords: Semantic segmentation;Transformer;Efficient
Decision: Poster
Title: Online Deep Equilibrium Learning for Regularization by Denoising
Authors: Jiaming Liu, Xiaojian Xu, Weijie Gan, shirin shoushtari, Ulugbek Kamilov
Affiliations: Washington University in St. Louis
Conference: nips 2022 (main track)
Keywords: inverse problems;plug-and-play priors;regularization by denoising;deep equilibrium models;computational imaging
Decision: Poster
Title: Sample Constrained Treatment Effect Estimation
Authors: Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao
Affiliations: University of Massachusetts Amherst; Adobe Research
Conference: nips 2022 (main track)
Keywords: average treatment effect estimation;individual treatment effect estimation;experimental design;randomized numerical linear algebra;discrepancy minimization;causal inference
Decision: Poster
Title: Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
Authors: Konstantin Mishchenko, Francis Bach, Mathieu Even, Blake Woodworth
Affiliations: DI ENS, Ecole normale supérieure, Université PSL, CNRS, INRIA, 75005 Paris, France
Conference: nips 2022 (main track)
Keywords: Stochastic;Convex;Non-convex;Asynchronous;Parallel;Optimization
Decision: Poster
Title: Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
Authors: Anastasiia Koloskova, Sebastian Stich, Martin Jaggi
Affiliations: EPFL; CISPA∗
Conference: nips 2022 (main track)
Keywords: asynchronous SGD;delayed SGD;stochastic optimization;Federated Learning;distributed optimization
Decision: Highlighted
Title: Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Authors: Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang
Affiliations: University of Cambridge; The Chinese University of Hong Kong; Amazon AWS AI Labs
Conference: nips 2022 (main track)
Keywords: Model Update Regression;Structured Prediction;Backward Compatibility
Decision: Poster
Title: An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Authors: Luca Saglietti, Stefano Mannelli, Andrew Saxe
Affiliations: Department of Computing Sciences, Bocconi University; Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London; Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, University College London & FAIR, Meta AI
Conference: nips 2022 (main track)
Keywords: learning;curriculum learning;theory;statistical mechanics;generalization model;fading;structured data
Decision: Poster
Title: Proximal Point Imitation Learning
Authors: Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Affiliations: Universitat Pompeu Fabra, Barcelona, Spain; ETH Zurich, Zurich, Switzerland; LIONS, EPFL, Lausanne, Switzerland
Conference: nips 2022 (main track)
Keywords: imitation learning theory;learning from demonstrations;proximal point method
Decision: Poster
Title: Will Bilevel Optimizers Benefit from Loops
Authors: Kaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying
Affiliations: Department of CSE, University at Buffalo; Department of ECE, The Ohio State University; Department of CS, George Mason University; Department of EECS, University of Michigan
Conference: nips 2022 (main track)
Keywords: Bilevel optimization;unified convergence analysis;optimization loops;lower bound.
Decision: Poster
Title: Boosting Out-of-distribution Detection with Typical Features
Authors: Yao Zhu, YueFeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue', Xiang Tian, bolun zheng, Yaowu Chen
Affiliations: Alibaba Group; Beijing Normal University; Zhejiang University, Zhejiang University Embedded System Engineering Research Center, Ministry of Education of China; Zhejiang University, Zhejiang Provincial Key Laboratory for Network Multimedia Technologies; Hangzhou Dianzi University, Zhejiang Provincial Key Laboratory for Network Multimedia Technologies; Zhejiang University, Alibaba Group
Conference: nips 2022 (main track)
Keywords: out-of-distribution detection;uncertainty estimation
Decision: Poster
Title: On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Authors: Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
Affiliations: School of Mathematics, Georgia Institute of Technology; Industrial and Systems Engineering, Georgia Institute of Technology; Electrical and Computer Engineering, Princeton University
Conference: nips 2022 (main track)
Keywords: Deep generative models;distribution estimation;low-dimensional manifold
Decision: Poster
Title: PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics
Authors: Omar Shouman, Wassim Gabriel, Victor-George Giurcoiu, Vitor Sternlicht, Mathias Wilhelm
Affiliations: Computational Mass Spectrometry, School of Life Sciences, Technical University of Munich (TUM), Freising, Germany
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Proteomics;Deep Learning;Machine Learning;Dataset;Mass Spectrometry;Retention Time;Annotated Spectra;Neutral Losses;ProteomeTools;Fragment Ions;Intensity
Decision: Poster
Title: Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
Authors: Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, haiyin piao, Yi Chang, Lichao Sun
Affiliations: Lehigh University, Bethlehem, Pennsylvania, USA; Northwestern Polytechnical University, Xian, China; Department of Computer Science, University of Maryland, College Park, MD 20742, USA; School of Artificial Intelligence, Jilin University, Changchun, China
Conference: nips 2022 (main track)
Keywords: Multi-Agent Reinforcement Learning;Reward Uncertainty
Decision: Poster
Title: DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Authors: Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing XU, Hang Xu
Affiliations: 1. Hong Kong University of Science and Technology, 2. Huawei Noah’s Ark Lab; 3. Shenzhen Campus of Sun Yat-Sen University; 2. Huawei Noah’s Ark Lab; 1. Hong Kong University of Science and Technology; 2. Huawei Noah’s Ark Lab†
Conference: nips 2022 (main track)
Keywords: Open-world object detection，Visual-language model
Decision: Poster
Title: Simultaneous Missing Value Imputation and Structure Learning with Groups
Authors: Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Affiliations: G-Research; Eedi; Epic Games; Google; University of Granada; Microsoft Research
Conference: nips 2022 (main track)
Keywords: structure learning;missing value;variational inference;graph neural network
Decision: Poster
Title: On the generalization of learning algorithms that do not converge
Authors: Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka
Affiliations: Institute for Data, Systems and Society, Massachusetts Institute of Technology; Electrical Engineering and Computer Science, Massachusetts Institute of Technology; Prescient Design, Genentech, Roche
Conference: nips 2022 (main track)
Keywords: deep learning theory;generalization;algorithmic stability;statistical learning theory
Decision: Poster
Title: Symmetry-induced Disentanglement on Graphs
Authors: Giangiacomo Mercatali, Andre Freitas, Vikas Garg
Affiliations: Idiap Research Institute, University of Manchester; YaiYai Ltd and Aalto University; University of Manchester
Conference: nips 2022 (main track)
Keywords: Generative models;disentanglement;latent variable models;graph neural networks
Decision: Poster
Title: A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
Authors: Konstantina Dritsa, Aikaterini Thoma, Ioannis Pavlopoulos, Panos Louridas
Affiliations: Athens University of Economics & Business, Greece; Athens University of Economics & Business, Greece; Stockholm University, Sweden
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: dataset;Greek language;Greek Parliament;computational linguistics;semantic shift;language change;machine learning;distributional semantics
Decision: Poster
Title: Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
Authors: Sihan Zeng, Thinh Doan, Justin Romberg
Affiliations: Dept. of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061; Dept. of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30318
Conference: nips 2022 (main track)
Keywords: Markov game;reinforcement learning;minimax optimization
Decision: Poster
Title: Sparse Fourier Backpropagation in Cryo-EM Reconstruction
Authors: Dari Kimanius, Kiarash Jamali, Sjors Scheres
Affiliations: MRC Laboratory of Molecular Biology
Conference: nips 2022 (main track)
Keywords: cryo-EM;NeRF;Fourier space reconstruction;VAE;generative modeling
Decision: Poster
Title: Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification
Authors: Sean Yang, Bernease Herman, Bill Howe
Affiliations: Information School, University of Washington, Seattle, WA 98195; Electrical and Computer Engineering, University of Washington, Seattle, WA 98195
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Hierarchical MultiLabel Classification;Declarative Query Toolkit;Customized Benchmark
Decision: Poster
Title: Assaying Out-Of-Distribution Generalization in Transfer Learning
Authors: Florian Wenzel, Andrea Dittadi, Peter Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
Affiliations: Technical University of Denmark; AWS Tübingen
Conference: nips 2022 (main track)
Keywords: Out-of-distribution generalization;robustness;distribution shifts;large-scale empirical study
Decision: Poster
Title: What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
Authors: Julien Colin, Thomas FEL, Remi Cadene, Thomas Serre
Affiliations: Carney Institute for Brain Science, Brown University, USA; ELLIS Alicante, Spain; Carney Institute for Brain Science, Brown University, USA; Carney Institute for Brain Science, Brown University, USA; Innovation & Research Division, SNCF; Sorbonne Université, CNRS, France; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France
Conference: nips 2022 (main track)
Keywords: Explainability;Interpretability;Human-centered;Evaluation
Decision: Poster
Title: Efficient Methods for Non-stationary Online Learning
Authors: Peng Zhao, Yan-Feng Xie, Lijun Zhang, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: non-stationary online learning;dynamic regret;adaptive regret;online ensemble;projection complexity
Decision: Highlighted
Title: Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Authors: Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar
Affiliations: CMS and Economics, Caltech; EECS, University of California Berkeley
Conference: nips 2022 (main track)
Keywords: Stable matching;Multi-armed bandits;Decentralized Algorithm
Decision: Poster
Title: Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
Authors: Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, qingling Cai, Xiaodan Liang
Affiliations: Shenzhen Campus of Sun Yat-Sen University and Peng Cheng Laboratory; Shenzhen Campus of Sun Yat-Sen University; UiT The Arctic University of Norway; Shenzhen Campus of Sun Yat-Sen University and ByteDance
Conference: nips 2022 (main track)
Decision: Poster
Title: QUARK: Controllable Text Generation with Reinforced Unlearning
Authors: Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
Affiliations: Allen Institute for Artificial Intelligence; Paul G. Allen School of Computer Science, University of Washington
Conference: nips 2022 (main track)
Keywords: Language Generation;Language Models
Decision: Highlighted
Title: DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Authors: Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim
Affiliations: Seoul National University, Artificial Intelligence Institute of Seoul National University (AIIS); Seoul National University, Automation and Systems Research Institute (ASRI)
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Hierarchical RL;Robotics
Decision: Highlighted
Title: Private Synthetic Data for Multitask Learning and Marginal Queries
Authors: Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Wu
Affiliations: Amazon AWS AI/ML, University of Pennsylvania; Columbia University; Amazon AWS AI/ML, Carnegie Mellon University; Amazon AWS AI/ML; University of Minnesota
Conference: nips 2022 (main track)
Decision: Poster
Title: Robust Models are less Over-Confident
Authors: Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
Affiliations: University of Siegen; Max Planck Institute for Informatics, Saarland Informatics Campus Saarbrücken; Fraunhofer ITWM, Kaiserslautern; IMLA, Offenburg University; Fraunhofer ITWM, Kaiserslautern; Visual Computing, University of Siegen; IMLA, Offenburg University
Conference: nips 2022 (main track)
Keywords: Computer Vision;Adversarial Robustness;Model Calibration
Decision: Poster
Title: CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
Authors: Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke
Affiliations: Sun Yat-sen University; Xi’an Jiaotong University; Noah’s Ark Lab, Huawei Technologies
Conference: nips 2022 (main track)
Keywords: Referring Image Segmentation;Vision Language Modeling;Cross-model Alignment
Decision: Poster
Title: Self-Supervised Learning with an Information Maximization Criterion
Authors: Serdar Ozsoy, Shadi Hamdan, Sercan Arik, Deniz Yuret, Alper Erdogan
Affiliations: KUIS AI Center, Koc University, Turkey and CE Department, Koc University, Turkey; KUIS AI Center, Koc University, Turkey and EEE Department, Koc University, Turkey; Google Cloud AI Research, Sunnyvale, CA
Conference: nips 2022 (main track)
Keywords: self-supervised learning;information maximization;representation learning;computer vision
Decision: Poster
Title: Learning Predictions for Algorithms with Predictions
Authors: Misha Khodak, Maria-Florina Balcan, Ameet Talwalkar, Sergei Vassilvitskii
Affiliations: Google Research - New York; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: algorithms with predictions;learning-augmented algorithms;online learning;combinatorial optimization;meta-learning
Decision: Poster
Title: NOMAD: Nonlinear Manifold Decoders for Operator Learning
Authors: Jacob Seidman
Affiliations: Department of Electrical and Systems Engineering, University of Pennsylvania; Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania; Graduate Program in Applied Mathematics and Computational Science, University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: Operator Learning;Manifold Learning;Functional Data;PDEs;Nonlinear Dimension Reduction
Decision: Poster
Title: Heterogeneous Skill Learning for Multi-agent Tasks
Authors: Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu
Affiliations: Academy of Military Science, Beijing, China; National University of Defense Technology, Hunan Changsha, China
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;multi-agent reinforcement learning;cooperative multi-agent system;mutual information
Decision: Poster
Title: S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces
Authors: Eric Nguyen, Karan Goel, Albert Gu, Gordon Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; Department of Neurobiology, Stanford University; Department of BioEngineering, Stanford University
Conference: nips 2022 (main track)
Keywords: Deep learning;computer vision;state space model;S4
Decision: Poster
Title: Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Authors: Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
Affiliations: Dept. of Computer Science, Università degli Studi di Milano, Italy; Dept. of Computer, Control and Management Engineering, Sapienza Università di Roma, Italy; Dept. of Computer Science, Università degli Studi di Milano, Italy & Istituto Italiano di Tecnologia, Italy
Conference: nips 2022 (main track)
Keywords: online learning;feedback graphs;bandits;random graphs
Decision: Poster
Title: Spherical Channels for Modeling Atomic Interactions
Authors: Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary Ulissi, Brandon Wood
Affiliations: Fundamental AI Research at Meta AI; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: graph neural networks;equivariance;invariance;materials science;chemistry
Decision: Poster
Title: Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Authors: Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva Dyer
Affiliations: Georgia Institute of Technology
Conference: nips 2022 (main track)
Keywords: Transformers;population dynamics;multi-variate time-series;neural activity;many-body systems
Decision: Poster
Title: Trajectory balance: Improved credit assignment in GFlowNets
Authors: Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio
Affiliations: Mila, McGill University, Recursion, Montréal, Québec, Canada; Mila, Université de Montréal, Montréal, Québec, Canada
Conference: nips 2022 (main track)
Keywords: GFlowNets;generative models;reinforcement learning;molecule design
Decision: Poster
Title: Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Authors: Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash
Affiliations: PathAI Inc
Conference: nips 2022 (main track)
Keywords: Interpretability;Explainability;Multiple Instance Learning;Medical Imaging;Digital Pathology;Histopathology;Saliency;Additive Models;Shapley Values;Explainable AI
Decision: Poster
Title: Wavelet Feature Maps Compression for Image-to-Image CNNs
Authors: Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister
Affiliations: The Department of Computer Science, Ben-Gurion University
Conference: nips 2022 (main track)
Keywords: Convolutional Neural Networks;Quantization;Wavelet Transform
Decision: Poster
Title: General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Authors: Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
Affiliations: Drexel University; Columbia University; CMU; Bosch Center for AI; UIUC; UCLA
Conference: nips 2022 (main track)
Keywords: neural network;formal verification;adversarial robustness
Decision: Poster
Title: Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Authors: Aidan Good, Jiaqi Lin, Xin Yu, Hannah Sieg, Mikey Fergurson, Shandian Zhe, Jerzy Wieczorek, Thiago Serra
Affiliations: University of Utah; Bucknell University; Colby College
Conference: nips 2022 (main track)
Decision: Poster
Title: Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
Authors: Francesco Pinto, Harry Yang, Ser Nam Lim, Philip Torr, Puneet Dokania
Affiliations: Meta AI; University of Oxford & Five AI Ltd.; University of Oxford
Conference: nips 2022 (main track)
Keywords: mixup;reliability;distribution shift;robustness;out-of-distribution detection
Decision: Poster
Title: Subsidiary Prototype Alignment for Universal Domain Adaptation
Authors: Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R
Affiliations: Indian Institute of Science; Google Research
Conference: nips 2022 (main track)
Keywords: Domain Adaptation;Universal Domain Adaptation;Object Recognition;Bag of visual words
Decision: Poster
Title: TweetNERD - End to End Entity Linking Benchmark for Tweets
Authors: Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini
Affiliations: Twitter, Inc.
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Twitter;Social Media;Named Entity Recognition;Named Entity Disambiguation;Entity Linking;Wikification;Dataset
Decision: Poster
Title: Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Authors: Tycho van der Ouderaa, David W. Romero, Mark van der Wilk
Affiliations: Vrije Universiteit Amsterdam, The Netherlands; Imperial College London, United Kingdom
Conference: nips 2022 (main track)
Keywords: relaxed;equivariance;constraints;non-stationary;generalized;convolution;filters;kernel;soft equivariance;partial equivariance
Decision: Poster
Title: Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
Authors: Neil Mallinar, James Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran
Affiliations: UC San Diego; Apple & UC San Diego; UC Berkeley
Conference: nips 2022 (main track)
Keywords: overfitting;benign overfitting;generalization;kernel regression;powerlaws;eigenspectra
Decision: Poster