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
Score-based Generative Models with Lévy Processes
EUN BI YOON, Keehun Park, Sungwoong Kim, Sungbin Lim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Score-based Source Separation with Applications to Digital Communication Signals
Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory Wornell
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas Harvey
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Secure Out-of-Distribution Task Generalization with Energy-Based Models
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding, Laixi Shi, Yuejie Chi, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Youquan Liu, Lingdong Kong, Jun CEN, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Segment Anything in 3D with NeRFs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang, chen yang, Wei Shen, Lingxi Xie, Dongsheng Jiang, XIAOPENG ZHANG, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Segment Anything in High Quality
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng, Harold Soh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Selective Sampling and Imitation Learning via Online Regression
Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors
Chengxu Zuo, Fang Jiawei, Shihui Guo, Yipeng Qin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Chained Image-Language Model for Video Localization and Question Answering
Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Consistent Velocity Matching of Probability Flows
Lingxiao Li, Samuel Hurault, Justin M Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Xie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Predictive Universal AI
Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristobal Eyzaguirre, Sanmi Koyejo, Ila Fiete
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
Zhaoying Pan, Daniel Geng, Andrew Owens
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Supervised Reinforcement Learning that Transfers using Random Features
Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Supervised Visual Acoustic Matching
Arjun Somayazulu, Changan Chen, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-supervised Graph Neural Networks via Low-Rank Decomposition
Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Xiaochun Cao, Chuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-supervised Object-Centric Learning for Videos
Görkay Aydemir, Weidi Xie, Fatma Guney
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Self-supervised video pretraining yields robust and more human-aligned visual representations
Nikhil Parthasarathy, S. M. Ali Eslami, Joao Carreira, Olivier Henaff
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semantic Image Synthesis with Unconditional Generator
JungWoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
Yuchen BAI, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semi-Implicit Denoising Diffusion Models (SIDDMs)
yanwu xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
Weihang Dai, Yao DU, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Semi-Supervised Domain Generalization with Known and Unknown Classes
Lei Zhang, Ji-Fu Li, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sensitivity in Translation Averaging
Lalit Manam, Venu Madhav Govindu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Separable Physics-Informed Neural Networks
Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sequential Memory with Temporal Predictive Coding
Mufeng Tang, Helen Barron, Rafal Bogacz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sequential Predictive Two-Sample and Independence Testing
Aleksandr Podkopaev, Aaditya Ramdas
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
Minyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee, Songhwai Oh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sequential Subset Matching for Dataset Distillation
JIAWEI DU, Qin Shi, Joey Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
Souhaib Attaiki, Maks Ovsjanikov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharp Calibrated Gaussian Processes
Alexandre Capone, Sandra Hirche, Geoff Pleiss
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
Michael Feldman, David Donoho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharp Spectral Rates for Koopman Operator Learning
Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Kaiyue Wen, Zhiyuan Li, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sharpness-Aware Minimization Leads to Low-Rank Features
Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sheaf Hypergraph Networks
Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, ZHAO-XIANG ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Hammaad Adam, Fan Yin, Huibin Hu, Neil Tenenholtz, Lorin Crawford, Lester W. Mackey, Allison Koenecke
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Should Under-parameterized Student Networks Copy or Average Teacher Weights?
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Should We Learn Most Likely Functions or Parameters?
Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Siamese Masked Autoencoders
Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Kaiyi Ji
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Hao Dong, Ismail Nejjar, Han Sun, Eleni Chatzi, Olga Fink
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
Aleksandr Beznosikov, Martin Takac, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Similarity-based cooperative equilibrium
Caspar Oesterheld, Johannes Treutlein, Roger B Grosse, Vincent Conitzer, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simple and Controllable Music Generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Defossez
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simple, Scalable and Effective Clustering via One-Dimensional Projections
Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simplifying Neural Network Training Under Class Imbalance
Ravid Shwartz-Ziv, Micah Goldblum, Yucen Li, C. Bayan Bruss, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
Haggai Agmon, Yoram Burak
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
Konstantin Makarychev, Sayak Chakrabarty
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Single-Stage Visual Query Localization in Egocentric Videos
Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Gregory Dexter, Petros Drineas, David Woodruff, Taisuke Yasuda
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Skill-it! A data-driven skills framework for understanding and training language models
Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue WANG, Ce Zhang, Frederic Sala, Christopher Ré
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Slot-guided Volumetric Object Radiance Fields
DI QI, Tong Yang, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics
Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Evgenii Chzhen, Christophe Giraud, Zhen LI, Gilles Stoltz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Small batch deep reinforcement learning
Johan Obando Ceron, Marc Bellemare, Pablo Samuel Castro
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Smooth Flipping Probability for Differential Private Sign Random Projection Methods
Ping Li, Xiaoyun Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Smooth, exact rotational symmetrization for deep learning on point clouds
Sergey Pozdnyakov, Michele Ceriotti
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Smoothed Analysis of Sequential Probability Assignment
Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Adam Block, Max Simchowitz, Russ Tedrake
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
Alex Damian, Eshaan Nichani, Rong Ge, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Social Motion Prediction with Cognitive Hierarchies
Wentao Zhu, Jason Qin, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, Yizhou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Soft-Unification in Deep Probabilistic Logic
Jaron Maene, Luc De Raedt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
Changhyeon Lee, Seulki Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh, Simona Vegetti, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sorting with Predictions
Xingjian Bai, Christian Coester
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
Xudong XU, Dejan Markovic, Jacob Sandakly, Todd Keebler, Steven Krenn, Alexander Richard
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang, Yan Sun, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, Cheng Xiang Zhai
Machine Learning
日本大学: 関与なし（対象大学）