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
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsYuli Slavutsky, Yuval Benjamini
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Classification Diffusion Models: Revitalizing Density Ratio EstimationShahar Yadin, Noam Elata, Tomer Michaeli
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Classification Done Right for Vision-Language Pre-TrainingZilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept DriftJunbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Classifier-guided Gradient Modulation for Enhanced Multimodal LearningZirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion ModelsWei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, Xi He
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Closed-Loop Visuomotor Control with Generative Expectation for Robotic ManipulationQingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeShuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang, Xiatian Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Cluster-Learngene: Inheriting Adaptive Clusters for Vision TransformersQiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Cluster-wise Graph Transformer with Dual-granularity Kernelized AttentionSiyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Clustering in Causal Attention MaskingNikita Karagodin, Yury Polyanskiy, Philippe Rigollet
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Clustering then Propagation: Select Better Anchors for Knowledge Graph EmbeddingKe Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Clustering with Non-adaptive Subset QueriesHadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Co-occurrence is not Factual Association in Language ModelsXiao Zhang, Miao Li, Ji Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoBo: Collaborative Learning via Bilevel OptimizationDiba Hashemi, Lie He, Martin Jaggi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoFie: Learning Compact Neural Surface Representations with Coordinate FieldsHanwen Jiang, Haitao Yang, Georgios Pavlakos, Qixing Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingDavid Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham Kakade
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor OptimizationZi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept MatchingDongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label NoiseLujian Yao, Haitao Zhao, Zhongze Wang, Kaijie Zhao, Jingchao Peng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoSy: Evaluating Textual Explanations of NeuronsLaura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker ConversationsLeying Zhang, Yao Qian, Long Zhou, Shujie Liu, Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Coarse-to-Fine Concept Bottleneck ModelsKonstantinos P. Panousis, Dino Ienco, Diego Marcos
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Code Repair with LLMs gives an Exploration-Exploitation TradeoffHao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel ProgrammingAli TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic FrameworkParsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningHao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix ModelsHao Yan, Keith Levin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Coherent 3D Scene Diffusion From a Single RGB ImageManuel Dahnert, Angela Dai, Norman Müller, Matthias Nießner
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep GenerationYizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Collaboration! Towards Robust Neural Methods for Routing ProblemsJianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner ModelingWeibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Collaborative Refining for Learning from Inaccurate LabelsBin Han, Yi-Xuan Sun, Ya-Lin Zhang, Libang Zhang, Haoran Hu, Longfei Li, Jun Zhou, Guo Ye, Huimei He
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera ControlZhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Color-Oriented Redundancy Reduction in Dataset DistillationBowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Combining Observational Data and Language for Species Range EstimationMax Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Combining Statistical Depth and Fermat Distance for Uncertainty QuantificationHai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Communication Bounds for the Distributed Experts ProblemZhihao Jia, Qi Pang, Trung Tran, David Woodruff, Zhihao Zhang, Wenting Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Communication Efficient Distributed Training with Distributed LionBo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Communication-Efficient Federated Group Distributionally Robust OptimizationZhishuai Guo, Tianbao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Community Detection Guarantees using Embeddings Learned by Node2VecAndrew Davison, S. Carlyle Morgan, Owen G. Ward
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compact Language Models via Pruning and Knowledge DistillationSaurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compact Proofs of Model Performance via Mechanistic InterpretabilityJason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip, Alex Gibson, Soufiane Noubir, Lawrence Chan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal InferenceYonghan Jung, Min Woo Park, Sanghack Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compositional 3D-aware Video Generation with LLM DirectorHanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compositional Automata Embeddings for Goal-Conditioned Reinforcement LearningBeyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compositional Generalization Across Distributional Shifts with Sparse Tree OperationsPaul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyondKirill Brilliantov, Amauri H. Souza, Vikas Garg
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Compressing Large Language Models using Low Rank and Low Precision DecompositionRajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Computation-Aware Gaussian Processes: Model Selection And Linear-Time InferenceJonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Computational Aspects of Bayesian Persuasion under Approximate Best ResponseKunhe Yang, Hanrui Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Computerized Adaptive Testing via Collaborative RankingZirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Computing the Bias of Constant-step Stochastic Approximation with Markovian NoiseSebastian Allmeier, Nicolas Gast
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series ClassificationJunru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, Yang Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ConStat: Performance-Based Contamination Detection in Large Language ModelsJasper Dekoninck, Mark Niklas Müller, Martin Vechev
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language ModelsChengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingJianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditional Controllable Image FusionBing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditional Density Estimation with Histogram TreesLincen Yang, Matthijs van Leeuwen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditional Generative Models are Sufficient to Sample from Any Causal Effect EstimandMd Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditional Outcome Equivalence: A Quantile Alternative to CATEJosh Givens, Henry W J Reeve, Song Liu, Katarzyna Reluga
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditional Synthesis of 3D Molecules with Time Correction SamplerHojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conditioning non-linear and infinite-dimensional diffusion processesElizabeth Louise Baker, Gefan Yang, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Confidence Calibration of Classifiers with Many ClassesAdrien Le Coz, Stéphane Herbin, Faouzi Adjed
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Confidence Regulation Neurons in Language ModelsAlessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPsTian Tian, Lin F. Yang, Csaba Szepesvári
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesYu Gui, Ying Jin, Zhimei Ren
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformal Classification with Equalized Coverage for Adaptively Selected GroupsYanfei Zhou, Matteo Sesia
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformal Inverse OptimizationBo Lin, Erick Delage, Timothy C. Y. Chan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationYuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformalized Credal Set PredictorsAlireza Javanmardi, David Stutz, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformalized Multiple Testing after Data-dependent SelectionXiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conformalized Time Series with Semantic FeaturesBaiting Chen, Zhimei Ren, Lu Cheng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID DataXiaohong Chen, Canran Xiao, Yongmei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conjugate Bayesian Two-step Change Point Detection for Hawkes ProcessZeyue Zhang, Xiaoling Lu, Feng Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language ModelsMengyuan Chen, Junyu Gao, Changsheng Xu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised LearningShentong Mo, Shengbang Tong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training DataJohannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil, Roger Grosse, Owain Evans
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix CompletionZhiwei Bai, Jiajie Zhao, Yaoyu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain SegmentersDong Zhao, Qi Zang, Shuang Wang, Nicu Sebe, Zhun Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Consensus Learning with Deep Sets for Essential Matrix EstimationDror Moran, Yuval Margalit, Guy Trostianetsky, Fadi Khatib, Meirav Galun, Ronen Basri
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Consistency Diffusion Bridge ModelsGuande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Consistency Models for Scalable and Fast Simulation-Based InferenceMarvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified RobustnessYiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Consistency of Neural Causal Partial IdentificationJiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constant Acceleration FlowDogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular DataThibault Simonetto, Salah Ghamizi, Maxime Cordy
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Binary Decision MakingDaniel Průša, Vojtěch Franc
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Diffusion Models via Dual TrainingShervin Khalafi, Dongsheng Ding, Alejandro Ribeiro
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Diffusion with Trust SamplingWilliam Huang, Yifeng Jiang, Tom Van Wouwe, C. Karen Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Latent Action Policies for Model-Based Offline Reinforcement LearningMarvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Sampling with Primal-Dual Langevin Monte CarloLuiz F. O. Chamon, Mohammad Reza Karimi, Anna Korba
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constrained Synthesis with Projected Diffusion ModelsJacob K. Christopher, Stephen Baek, Ferdinando Fioretto
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Constructing Semantics-Aware Adversarial Examples with a Probabilistic PerspectiveAndi Zhang, Mingtian Zhang, Damon Wischik
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language ModelYanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofeng Wang, Tong Xie, Wenjie Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ContactField: Implicit Field Representation for Multi-Person Interaction GeometryHansol Lee, Tackgeun You, Hansoo Park, Woohyeon Shim, Sanghyeon Kim, Hwasup Lim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Context and Geometry Aware Voxel Transformer for Semantic Scene CompletionZhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu, Lun Luo, Si-Yuan Cao, Hui-Liang Shen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Context-Aware Testing: A New Paradigm for Model Testing with Large Language ModelsPaulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
ContextCite: Attributing Model Generation to ContextBenjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Mądry
Machine Learning
日本大学: 関与なし(対象大学)