NeurIPS

2022–2026 LIVE

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Machine Learning

2024 · 4,034 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。

2024 · NeurIPS
Regression under demographic parity constraints via unlabeled post-processing
Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Regret Minimization in Stackelberg Games with Side Information
Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
Zih-Syuan Huang, Ching-pei Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Regularized Q-Learning
Han-Dong Lim, Donghwan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
Lin Duan, Jingwei Sun, Jinyuan Jia, Yiran Chen, Maria Gorlatova
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning Guided Semi-Supervised Learning
Marzi Heidari, Hanping Zhang, Yuhong Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, Pietro Ferraro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo, Dingyang Chen, Qi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards
Xuan-Bach Le, Dominik Wagner, Leon Witzman, Alexander Rabinovich, Luke Ong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcement Learning with Lookahead Information
Nadav Merlis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reinforcing LLM Agents via Policy Optimization with Action Decomposition
Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rejection via Learning Density Ratios
Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Relating Hopfield Networks to Episodic Control
Hugo Chateau-Laurent, Frédéric Alexandre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Relational Concept Bottleneck Models
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Relational Verification Leaps Forward with RABBit
Tarun Suresh, Debangshu Banerjee, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reliable Learning of Halfspaces under Gaussian Marginals
Ilias Diakonikolas, Lisheng Ren, Nikos Zarifis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
Gongfan Fang, Xinyin Ma, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horváth, Martin Takáč, Eduard Gorbunov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Renovating Names in Open-Vocabulary Segmentation Benchmarks
Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Replicable Uniformity Testing
Sihan Liu, Christopher Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Representation Noising: A Defence Mechanism Against Harmful Finetuning
Domenic Rosati, Jan Wehner, Kai Williams, Łukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reproducibility of predictive networks for mouse visual cortex
Polina Turishcheva, Max F. Burg, Fabian H. Sinz, Alexander S. Ecker
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Miłoś
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reranking Laws for Language Generation: A Communication-Theoretic Perspective
António Farinhas, Haau-Sing Li, André F. T. Martins
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Xincheng Yao, Zixin Chen, Chao Gao, Guangtao Zhai, Chongyang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking 3D Convolution in $\ell_p$-norm Space
Li Zhang, Yan Zhong, Jianan Wang, Zhe Min, Rujing Wang, Liu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
Qishuai Wen, Chun-Guang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
Jay Bear, Adam Prügel-Bennett, Jonathon Hare
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
Runze Yang, Longbing Cao, Jianxun Li, Jie Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
Wei Yu, Bowen Yang, Qinglin Liu, Jianing Li, Shengping Zhang, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
Weichao Zhou, Wenchao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
Guhao Feng, Han Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
Shuai He, Shuntian Zheng, Anlong Ming, Banyu Wu, Huadong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Optimal Transport in Offline Reinforcement Learning
Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
Ge Yan, Mengfei Ran, Ruocheng Wang, Kaiseng Pan, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Score Distillation as a Bridge Between Image Distributions
David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Zheng Zhang, Yicong Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
Honglin Li, Yunlong Zhang, Pingyi Chen, Zhongyi Shui, Chenglu Zhu, Lin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Junjiao Tian, Chengyue Huang, Zsolt Kira
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
Hangchi Shen, Qian Zheng, Huamin Wang, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony Caterini
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Return of Unconditional Generation: A Self-supervised Representation Generation Method
Tianhong Li, Dina Katabi, Kaiming He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection
Hui Wei, Zhixiang Wang, Kewei Zhang, Jiaqi Hou, Yuanwei Liu, Hao Tang, Zheng Wang
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Revisiting Differentially Private ReLU Regression
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting Ensembling in One-Shot Federated Learning
Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
Abdulkadir Çelikkanat, Andres R. Masegosa, Thomas D. Nielsen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting Score Propagation in Graph Out-of-Distribution Detection
Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting motion information for RGB-Event tracking with MOT philosophy
Tianlu Zhang, Kurt Debattista, Qiang Zhang, Guiguang Ding, Jungong Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revisiting the Integration of Convolution and Attention for Vision Backbone
Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson Lau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
Jiaan Luo, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Right this way: Can VLMs Guide Us to See More to Answer Questions?
Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Risk-Averse Fine-tuning of Large Language Models
Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Risk-sensitive control as inference with Rényi divergence
Kaito Ito, Kenji Kashima
Machine Learning
日本大学: 京都大学 / 東京大学
2024 · NeurIPS
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
Easton Huch, Jieru Shi, Madeline R. Abbott, Jessica R. Golbus, Alexander Moreno, Walter H. Dempsey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RobIR: Robust Inverse Rendering for High-Illumination Scenes
Ziyi Yang, Yanzhen Chen, Xinyu Gao, Yazhen Yuan, Yu Wu, Xiaowei Zhou, Xiaogang Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li, Kaichen Zhou, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robot Policy Learning with Temporal Optimal Transport Reward
Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robust Conformal Prediction Using Privileged Information
Shai Feldman, Yaniv Romano
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
Ruiming Guo, Mouxing Yang, Yijie Lin, Xi Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Beier Zhu, Jiequan Cui, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robust Gaussian Processes via Relevance Pursuit
Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
Machine Learning
日本大学: 関与なし（対象大学）