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
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Yihong Sun, Bharath Hariharan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Min-Seop Kwak, Sungjin Cho, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
Xiuhong Lin, Changjie Qiu, zhipeng cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EDGI: Equivariant Diffusion for Planning with Embodied Agents
Johann Brehmer, Joey Bose, Pim de Haan, Taco S Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ELDEN: Exploration via Local Dependencies
Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, jun xie
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Easy Learning from Label Proportions
Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andres Munoz Medina
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
Yang Liu, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah Bana, Dan Jurafsky, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
Hussein Mozannar, Jimin Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Activation Function Optimization through Surrogate Modeling
Garrett Bingham, Risto Miikkulainen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong, Dawei Yan, Zhijun Lin, Peng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
Guanlin Liu, Lifeng LAI
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Xilie Xu, Jingfeng ZHANG, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination
Osama Hanna, Lin Yang, Christina Fragouli
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Beam Tree Recursion
Jishnu Ray Chowdhury, Cornelia Caragea
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Diffusion Policies For Offline Reinforcement Learning
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Equivariant Transfer Learning from Pretrained Models
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dorfler, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Hyper-parameter Optimization with Cubic Regularization
Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Learning of Linear Graph Neural Networks via Node Subsampling
Seiyun Shin, Ilan Shomorony, Han Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Model-Free Exploration in Low-Rank MDPs
Zak Mhammedi, Adam Block, Dylan J Foster, Alexander Rakhlin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Neural Music Generation
Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Wang Yuping, Yuxuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Online Clustering with Moving Costs
Dimitrios Christou, Stratis Skoulakis, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
wonje choi, Woo Kyung Kim, SeungHyun Kim, Honguk Woo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj, Umut Simsekli, Alessandro Rudi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Subgame Refinement for Extensive-form Games
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, xishan zhang, Ling Li, Qi Guo, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas Li, Bohan Zhuang, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Training of Energy-Based Models Using Jarzynski Equality
Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang, Henry Lam, Haofeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Efficiently incorporating quintuple interactions into geometric deep learning force fields
Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding
Shuhan Tan, Tushar Nagarajan, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EgoEnv: Human-centric environment representations from egocentric video
Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Egocentric Planning for Scalable Embodied Task Achievement
Xiatoian Liu, Hector Palacios, Christian Muise
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Elastic Decision Transformer
Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
Runqi Lin, Chaojian Yu, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Eliminating Domain Bias for Federated Learning in Representation Space
Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui XUE, Ruhui Ma, Haibing Guan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan, Ewa Kijak, laurent amsaleg, Yannis Avrithis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
Zuheng Xu, Trevor Campbell
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Neel Guha, Mayee Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Emergent Communication for Rules Reasoning
Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, xishan zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Emergent Communication in Interactive Sketch Question Answering
Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Emergent Correspondence from Image Diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Emergent and Predictable Memorization in Large Language Models
Stella Biderman, USVSN PRASHANTH, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Empowering Convolutional Neural Nets with MetaSin Activation
Farnood Salehi, Tunç Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Encoding Human Behavior in Information Design through Deep Learning
Guanghui Yu, Wei Tang, Saumik Narayanan, Chien-Ju Ho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Alexander Shmakov, Kevin Greif, Michael Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou Ammar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Tobias Schröder, Zijing Ou, Jen Lim, Yingzhen Li, Sebastian Vollmer, Andrew Duncan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy Guided Diffusion for Generating Neurally Exciting Images
Pawel Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas Tolias, Fabian H. Sinz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy Transformer
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed Zaki, Dmitry Krotov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank Park
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy-Based Sliced Wasserstein Distance
Khai Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy-Efficient Scheduling with Predictions
Eric Balkanski, Noemie Perivier, Clifford Stein, Hao-Ting Wei
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Energy-based learning algorithms for analog computing: a comparative study
Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Xilie Xu, Jingfeng ZHANG, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang, Weijian Luo, Zhihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
Cristina Menghini, Andrew Delworth, Stephen Bach
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
Jintong Gao, He Zhao, Zhuo Li, Dandan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams
Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Robot Program Synthesis Through Environmental Context
Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing Sharpness-Aware Optimization Through Variance Suppression
Bingcong Li, Georgios Giannakis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
YUAN JIANG, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P Vetrov, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Entropy-based Training Methods for Scalable Neural Implicit Samplers
Weijian Luo, Boya Zhang, Zhihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
Zebang Shen, Zhenfu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-marie Kermarrec, Rafael Pires, Rishi Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Epistemic Neural Networks
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, MORTEZA IBRAHIMI, Xiuyuan Lu, Benjamin Van Roy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equal Opportunity of Coverage in Fair Regression
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S Yu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant Adaptation of Large Pretrained Models
Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Rajeswar Mudumba, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant Neural Operator Learning with Graphon Convolution
Chaoran Cheng, Jian Peng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz, Yoeri Poels, Simon Koop, Vlado Menkovski
Machine Learning
日本大学: 関与なし（対象大学）