NeurIPS

2022–2026 LIVE

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Machine Learning

2022 · 2,671 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2022 · NeurIPS
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
Arpit Agarwal, Rohan Ghuge, viswanath nagarajan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei, H.-Y. Xu, Faen Zhang, Yuxin Peng, Wei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An In-depth Study of Stochastic Backpropagation
Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon, Benjamin Van Roy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An Investigation into Whitening Loss for Self-supervised Learning
Xi Weng, Lei Huang, Lei Zhao, Rao Anwer, Salman H Khan, Fahad Shahbaz Khan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Aryan Pedawi, Pawel Gniewek, Chaoyi Chang, Brandon Anderson, Henry van den Bedem
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
An empirical analysis of compute-optimal large language model training
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Thomas Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karén Simonyan, Erich Elsen, Oriol Vinyals, Jack Rae, Laurent Sifre
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi, Ekdeep S Lubana, Mark Heimann, Danai Koutra, Jayaraman Thiagarajan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
Keitaro Sakamoto, Issei Sato
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Zixuan Wang, Zhouzi Li, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Yanze Wu, Xintao Wang, GEN LI, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Annihilation of Spurious Minima in Two-Layer ReLU Networks
Yossi Arjevani, Michael Field
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Anonymized Histograms in Intermediate Privacy Models
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Anonymous Bandits for Multi-User Systems
Hossein Esfandiari, Vahab Mirrokni, Jon Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Anticipating Performativity by Predicting from Predictions
Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Anytime-Valid Inference For Multinomial Count Data
Michael Lindon, Alan Malek
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand, Sean Meyn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
Aleksandros Sobczyk, Mathieu Luisier
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Approximate Secular Equations for the Cubic Regularization Subproblem
Yihang Gao, Man-Chung Yue, Michael Ng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Approximate Value Equivalence
Christopher Grimm, Andre Barreto, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are GANs overkill for NLP?
David Alvarez-Melis, Vikas Garg, Adam Kalai
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
Jiyang Guan, Jian Liang, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Are all Frames Equal? Active Sparse Labeling for Video Action Detection
Aayush Rana, Yogesh Rawat
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Assaying Out-Of-Distribution Generalization in Transfer Learning
Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah Goodman, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Associating Objects and Their Effects in Video through Coordination Games
Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Xin-Chun Li, Wen-shu Fan, Shaoming Song, Yinchuan Li, bingshuai Li, Shao Yunfeng, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang, Yuze Han, Xiang Li, Zhihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee, Jaeyong Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
HuiYang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymptotics of $\ell_2$ Regularized Network Embeddings
Andrew Davison
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding, Jonathan Niles-Weed
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao, Weihao Tan, Christopher Amato
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E Woodworth
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AttCAT: Explaining Transformers via Attentive Class Activation Tokens
Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Attention-based Neural Cellular Automata
Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang, yaxing wang, kai wang, Shangling Jui, Joost van de Weijer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Audio-Driven Co-Speech Gesture Video Generation
Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
Akshay Mete, Rahul Singh, P. R. Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions
Anupam Gupta, Debmalya Panigrahi, Bernardo Subercaseaux, Kevin Sun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Xingzhe He, Bastian Wandt, Helge Rhodin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AutoML Two-Sample Test
Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang, Xiao Liu, Hui Guan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences
Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Autoformalization with Large Language Models
Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Autoinverse: Uncertainty Aware Inversion of Neural Networks
Navid Ansari, Hans-peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Automatic differentiation of nonsmooth iterative algorithms
Jerome Bolte, Edouard Pauwels, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Autoregressive Perturbations for Data Poisoning
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Average Sensitivity of Euclidean k-Clustering
Yuichi Yoshida, Shinji Ito
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtarik, Yuejie Chi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BILCO: An Efficient Algorithm for Joint Alignment of Time Series
Xuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang, Misha B Ahrens, Guoqiang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BYOL-Explore: Exploration by Bootstrapped Prediction
Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Remi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BadPrompt: Backdoor Attacks on Continuous Prompts
Xiangrui Cai, Haidong Xu, Sihan Xu, Ying ZHANG, Yuan xiaojie
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BagFlip: A Certified Defense Against Data Poisoning
Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvari, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Changyong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Batch Bayesian optimisation via density-ratio estimation with guarantees
Rafael Oliveira, Louis Tiao, Fabio T Ramos
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li, Jeff M Phillips, Xin Yu, Robert Kirby, Shandian Zhe
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Batch size-invariance for policy optimization
Jacob Hilton, Karl Cobbe, John Schulman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
BayesPCN: A Continually Learnable Predictive Coding Associative Memory
Jinsoo Yoo, Frank Wood
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco Antunes, Frederik Hüttel, Carlos Lima Azevedo, Francisco Pereira
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
Ganchao Wei, Ian H Stevenson, Xiaojing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A Osborne, Eytan Bakshy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Persuasion for Algorithmic Recourse
Keegan Harris, Valerie Chen, Joon Kim, Ameet Talwalkar, Hoda Heidari, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Risk Markov Decision Processes
Yifan Lin, Yuxuan Ren, Enlu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bayesian inference via sparse Hamiltonian flows
Naitong Chen, Zuheng Xu, Trevor Campbell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Behavior Transformers: Cloning $k$ modes with one stone
Nur Muhammad Shafiullah, Zichen Cui, Ariuntuya (Arty) Altanzaya, Lerrel Pinto
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bellman Residual Orthogonalization for Offline Reinforcement Learning
Andrea Zanette, Martin J Wainwright
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain DURIF, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr MOUFAD, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Alireza Fathollah Pour, Hassan Ashtiani
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benefits of Permutation-Equivariance in Auction Mechanisms
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benign Overfitting in Two-layer Convolutional Neural Networks
Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benign Underfitting of Stochastic Gradient Descent
Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
Neil Mallinar, James Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Joshua Mitton, Simon Mekhail, Miles Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Best of Both Worlds Model Selection
Aldo Pacchiano, Christoph Dann, Claudio Gentile
Machine Learning
日本大学: 関与なし（対象大学）