NeurIPS

2022–2026 LIVE

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Machine Learning

2023 · 3,218 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。

2023 · NeurIPS
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
Miltiadis (Miltos) Kofinas, Erik Bekkers, Naveen Nagaraja, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Latent Graph Inference with Limited Supervision
Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Latent SDEs on Homogeneous Spaces
Sebastian Zeng, Florian Graf, Roland Kwitt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Latent Space Translation via Semantic Alignment
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Latent exploration for Reinforcement Learning
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Huang, Alexander Mathis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
Stefano Massaroli, Michael Poli, Dan Fu, Hermann Kumbong, Rom Parnichkun, David Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs
Muhammed Fatih Balin, Ümit Çatalyürek
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Xuehai He, S Basu, Xin Eric Wang, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
LayoutPrompter: Awaken the Design Ability of Large Language Models
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
Sarah Rastegar, Hazel Doughty, Cees Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
YUANHAO WANG, Ramzi Idoughi, Wolfgang Heidrich
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Causal Models under Independent Changes
Sarah Mameche, David Kaltenpoth, Jilles Vreeken
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Curves for Deep Structured Gaussian Feature Models
Jacob Zavatone-Veth, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
Ben Ruben, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Cuts via Enumeration Oracles
Daniel Thuerck, Boro Sofranac, Marc E Pfetsch, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning DAGs from Data with Few Root Causes
Panagiotis Misiakos, Chris Wendler, Markus Püschel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization
Zhenbo Song, ze xianghui, Jianfeng Lu, Yujiao Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
Zihao Yue, Anwen Hu, Liang Zhang, Qin Jin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Dictionary for Visual Attention
Yingjie Liu, Xuan Liu, Hui Yu, XUAN TANG, Xian Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Domain-Aware Detection Head with Prompt Tuning
Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
Fan Feng, Sara Magliacane
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Thomas Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian (Shawn) Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Energy-based Model via Dual-MCMC Teaching
Jiali Cui, Tian Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
Ruihai Wu, Kai Cheng, Yan Zhao, Chuanruo Ning, Guanqi Zhan, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Exponential Families from Truncated Samples
Jane Lee, Andre Wibisono, Emmanouil Zampetakis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
Zihui (Sherry) Xue, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning From Biased Soft Labels
Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Functional Transduction
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Generalizable Agents via Saliency-guided Features Decorrelation
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Interpretable Low-dimensional Representation via Physical Symmetry
Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Invariant Molecular Representation in Latent Discrete Space
Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Wang, Minh H. Nguyen, Mert Sabuncu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao, Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen WANG, Jiaxi Ying, Daniel Palomar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Layer-wise Equivariances Automatically using Gradients
Tycho van der Ouderaa, Alexander Immer, Mark van der Wilk
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep K. Ravikumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning List-Level Domain-Invariant Representations for Ranking
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
Siyu Jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Mixtures of Gaussians Using the DDPM Objective
Kulin Shah, Sitan Chen, Adam Klivans
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Modulated Transformation in GANs
Ceyuan Yang, Qihang Zhang, Yinghao Xu, Jiapeng Zhu, Yujun Shen, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Motion Refinement for Unsupervised Face Animation
Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
Shicheng Liu, Minghui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
Pengchong Hu, Zhizhong Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Nonparametric Latent Causal Graphs with Unknown Interventions
Yibo Jiang, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Provably Robust Estimators for Inverse Problems via Jittering
Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock, Lester W. Mackey, Christopher Nemeth
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
Xiaotong Luo, Yuan Xie, Yanyun Qu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Regularized Monotone Graphon Mean-Field Games
Fengzhuo Zhang, Vincent Tan, Zhaoran Wang, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Reliable Logical Rules with SATNet
Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Shared Safety Constraints from Multi-task Demonstrations
Konwoo Kim, Gokul Swamy, ZUXIN LIU, DING ZHAO, Sanjiban Choudhury, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning To Dive In Branch And Bound
Max Paulus, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Trajectories are Generalization Indicators
Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Transformer Programs
Dan Friedman, Alexander Wettig, Danqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Universal Policies via Text-Guided Video Generation
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Unseen Modality Interaction
Yunhua Zhang, Hazel Doughty, Cees Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning Visual Prior via Generative Pre-Training
Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning World Models with Identifiable Factorization
Yuren Liu, Biwei Huang, Zhengmao Zhu, Honglong Tian, Mingming Gong, Yang Yu, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning a 1-layer conditional generative model in total variation
Ajil Jalal, Justin Kang, Ananya Uppal, Kannan Ramchandran, ecprice
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
Dmitry Chistikov, Matthias Englert, Ranko Lazic
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning and Collusion in Multi-unit Auctions
Simina Branzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
xiaolong zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning better with Dale’s Law: A Spectral Perspective
Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake Richards
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning from Active Human Involvement through Proxy Value Propagation
Zhenghao (Mark) Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
Kunxun Qi, Jianfeng Du, Hai Wan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
Jimmy Ba, Murat A Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Learning non-Markovian Decision-Making from State-only Sequences
Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning the Efficient Frontier
Philippe Chatigny, Ivan Sergienko, Ryan Ferguson, Jordan Weir, Maxime Bergeron
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning threshold neurons via edge of stability
Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Augment Distributions for Out-of-distribution Detection
Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Compress Prompts with Gist Tokens
Jesse Mu, Xiang Li, Noah Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Configure Separators in Branch-and-Cut
Sirui Li, Wenbin Ouyang, Max Paulus, Cathy Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Discover Skills through Guidance
HYUNSEUNG KIM, BYUNG KUN LEE, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Group Auxiliary Datasets for Molecule
Tinglin Huang, Ziniu Hu, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Influence Human Behavior with Offline Reinforcement Learning
Joey Hong, Sergey Levine, Anca Dragan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Modulate pre-trained Models in RL
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval
Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Reason and Memorize with Self-Notes
Jack Lanchantin, Shubham Toshniwal, Jason Weston, arthur szlam, Sainbayar Sukhbaatar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Receive Help: Intervention-Aware Concept Embedding Models
Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning to Tokenize for Generative Retrieval
Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, Zhaochun Ren
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning via Wasserstein-Based High Probability Generalisation Bounds
Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Learning with Explanation Constraints
Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina F Balcan, Pradeep K. Ravikumar
Machine Learning
日本大学: 関与なし（対象大学）