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
LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single ImageRuikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, Yang Li, Nick Barnes, Hongdong Li, Pan Ji
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3DZeng Tao, Tong Yang, Junxiong Lin, Xinji Mai, Haoran Wang, Beining Wang, Enyu Zhou, Yan Wang, Wenqiang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LCM: Locally Constrained Compact Point Cloud Model for Masked Point ModelingYaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LESS: Label-Efficient and Single-Stage Referring 3D SegmentationXuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang, Nicu Sebe, Lin Ma
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationLiang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LG-CAV: Train Any Concept Activation Vector with Language GuidanceQihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LG-VQ: Language-Guided Codebook LearningGuotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, Linfeng Luo
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LION: Linear Group RNN for 3D Object Detection in Point CloudsZhe Liu, Jinghua Hou, Xinyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-TuningRui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LIVE: Learnable In-Context Vector for Visual Question AnsweringYingzhe Peng, Chenduo Hao, Xinting Hu, Jiawei Peng, Xin Geng, Xu Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM Circuit Analyses Are Consistent Across Training and ScaleCurt Tigges, Michael Hanna, Qinan Yu, Stella Biderman
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM Dataset Inference: Did you train on my dataset?Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM Evaluators Recognize and Favor Their Own GenerationsArjun Panickssery, Samuel R. Bowman, Shi Feng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM Processes: Numerical Predictive Distributions Conditioned on Natural LanguageJames Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed ProblemsPengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM-Check: Investigating Detection of Hallucinations in Large Language ModelsGaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential RecommendationQidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLM-based Skill Diffusion for Zero-shot Policy AdaptationWoo Kyung Kim, Youngseok Lee, Jooyoung Kim, Honguk Woo
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLMDFA: Analyzing Dataflow in Code with Large Language ModelsChengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiaoheng Xie, Xiangyu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal ReasoningJiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token EmbeddingsDuo Wang, Yuan Zuo, Fengzhi Li, Junjie Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLaMo: Large Language Model-based Molecular Graph AssistantJinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LLaNA: Large Language and NeRF AssistantAndrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold ModelZecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LOVA3: Learning to Visual Question Answering, Asking and AssessmentHenry Hengyuan Zhao, Pan Zhou, Difei Gao, Zechen Bai, Mike Zheng Shou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LP-3DGS: Learning to Prune 3D Gaussian SplattingZhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LRM-Zero: Training Large Reconstruction Models with Synthesized DataDesai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive HashingXiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed EffectYixiao Xu, Binxing Fang, Mohan Li, Keke Tang, Zhihong Tian
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length ObservationsYuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LaSCal: Label-Shift Calibration without target labelsTeodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video ReconstructionKanghao Chen, Hangyu Li, Jiazhou Zhou, Zeyu Wang, Lin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Label Delay in Online Continual LearningBotos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H.S. Torr, Adel Bibi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Label Noise: Ignorance Is BlissYilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling CasesHang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine UnlearningEli Chien, Haoyu Wang, Ziang Chen, Pan Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language Generation in the LimitJon Kleinberg, Sendhil Mullainathan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable CommunicationHuao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi-Pari, Michael Lewis, Katia Sycara
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language Model as Visual ExplainerXingyi Yang, Xinchao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language Models as Hierarchy EncodersYuan He, Zhangdie Yuan, Jiaoyan Chen, Ian Horrocks
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsHui-Po Wang, Mario Fritz
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Language-Driven Interactive Traffic Trajectory GenerationJunkai Xia, Chenxin Xu, Qingyao Xu, Yanfeng Wang, Siheng Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Language Model Unlearning via Embedding-Corrupted PromptsChris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Language Models Must Be Taught to Know What They Don’t KnowSanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization ApproachWeiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility GenerationJiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao
Machine Learning
日本大学: 大阪大学 / 東京大学
2024 · NeurIPS
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph ReasoningJiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Pre-trained time series models for cross-domain Time series analysis tasksHarshavardhan Kamarthi, B. Aditya Prakash
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Scale Transfer Learning for Tabular Data via Language ModelingJosh Gardner, Juan C. Perdomo, Ludwig Schmidt
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Spatial Model: End-to-end Unposed Images to Semantic 3DZhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast OptimizationYuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Large language model validity via enhanced conformal prediction methodsJohn J. Cherian, Isaac Gibbs, Emmanuel J. Candès
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational InequalitiesZaiwei Chen, Eric Mazumdar
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement LearningAlessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Diffusion for Neural Spiking DataJaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Functional Maps: a spectral framework for representation alignmentMarco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Intrinsics Emerge from Training to RelightXiao Zhang, William Gao, Seemandhar Jain, Michael Maire, D.A. Forsyth, Anand Bhattad
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement LearningGaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne G. E. Collins
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Neural Operator for Solving Forward and Inverse PDE ProblemsTian Wang, Chuang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsMinki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space InferenceDeqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Latent Representation Matters: Human-like Sketches in One-shot Drawing TasksVictor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Layer-Adaptive State Pruning for Deep State Space ModelsMinseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
LeDex: Training LLMs to Better Self-Debug and Explain CodeNan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learn To be Efficient: Build Structured Sparsity in Large Language ModelsHaizhong Zheng, Xiaoyan Bai, Xueshen Liu, Z. Morley Mao, Beidi Chen, Fan Lai, Atul Prakash
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learn more, but bother less: parameter efficient continual learningFuli Qiao, Mehrdad Mahdavi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learnability Matters: Active Learning for Video CaptioningYiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang, Jun Yu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learnability of high-dimensional targets by two-parameter models and gradient flowDmitry Yarotsky
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning 1D Causal Visual Representation with De-focus Attention NetworksChenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant RepresentationXin Hu, Xiaole Tang, Ruixuan Yu, Jian Sun
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning 3D Garment Animation from Trajectories of A Piece of ClothYidi Shao, Chen Change Loy, Bo Dai
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Better Representations From Less Data For Propositional SatisfiabilityMohamed Ghanem, Frederik Schmitt, Julian Siber, Bernd Finkbeiner
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Bregman Divergences with Application to RobustnessMohamed-Hicham Leghettas, Markus Püschel
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identificationJiangming Shi, Xiangbo Yin, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Complete Protein Representation by Dynamically Coupling of Sequence and StructureBozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Cooperative Trajectory Representations for Motion ForecastingHongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density RatiosShihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Cut Generating Functions for Integer ProgrammingHongyu Cheng, Amitabh Basu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning De-Biased Representations for Remote-Sensing ImageryZichen Tian, Zhaozheng Chen, Qianru Sun
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Diffusion Priors from Observations by Expectation MaximizationFrançois Rozet, Gérôme Andry, François Lanusse, Gilles Louppe
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Discrete Concepts in Latent Hierarchical ModelsLingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Discrete Latent Variable Structures with Tensor Rank ConditionsZhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information MinimizationZiyu Shan, Yujie Zhang, Yipeng Liu, Yiling Xu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Distinguishable Trajectory Representation with Contrastive LossTianxu Li, Kun Zhu, Juan Li, Yang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Distributions on Manifolds with Free-Form FlowsPeter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Elastic Costs to Shape Monge DisplacementsMichal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization ProblemFivos Kalogiannis, Jingming Yan, Ioannis Panageas
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Formal Mathematics From Intrinsic MotivationGabriel Poesia, David Broman, Nick Haber, Noah D. Goodman
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic SegmentationQi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient AlgorithmQinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Generalized Linear Programming Value FunctionsTu Anh-Nguyen, Joey Huchette, Christian Tjandraatmadja
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Goal-Conditioned Representations for Language Reward ModelsVaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Group Actions on Latent RepresentationsYinzhu Jin, Aman Shrivastava, P. Thomas Fletcher
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Human-like Representations to Enable Learning Human ValuesAndrea H. Wynn, Ilia Sucholutsky, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Identifiable Factorized Causal Representations of Cellular ResponsesHaiyi Mad, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis V. Benos, Lin Qiu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse ProblemsJason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Infinitesimal Generators of Continuous Symmetries from DataGyeonghoon Ko, Hyunsu Kim, Juho Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand AvatarsXuan Huang, Hanhui Li, Wanquan Liu, Xiaodan Liang, Yiqiang Yan, Yuhao Cheng, Chengqiang Gao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic AmbiguityJikai Jin, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし(対象大学)