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
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Graph Matching for Correlated Stochastic Block Models
Shuwen Chai, Miklós Z. Rácz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient LLM Scheduling by Learning to Rank
Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Large Multi-modal Models via Visual Context Compression
Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan Yuille
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Leverage Score Sampling for Tensor Train Decomposition
Vivek Bharadwaj, Beheshteh T. Rakhshan, Osman Asif Malik, Guillaume Rabusseau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
Ameya Prabhu, Vishaal Udandarao, Philip H.S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Policy Evaluation Across Multiple Different Experimental Datasets
Yonghan Jung, Alexis Bellot
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Prompt Optimization Through the Lens of Best Arm Identification
Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Reinforcement Learning by Discovering Neural Pathways
Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis, Amy Zhang, Alessandro Sordoni, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
Andrea Schioppa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Streaming Algorithms for Graphlet Sampling
Yann Bourreau, Marco Bressan, T-H. Hubert Chan, Qipeng Kuang, Mauro Sozio
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient Temporal Action Segmentation via Boundary-aware Query Voting
Peiyao Wang, Yuewei Lin, Erik Blasch, Jie Wei, Haibin Ling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient and Private Marginal Reconstruction with Local Non-Negativity
Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficient multi-prompt evaluation of LLMs
Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
Xinyi Yu, Haonan Jiang, Li Zhang, Lin Yuanbo Wu, Linin Ou, Liu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
Yuhang Yang, Wei Zhai, Chengfeng Wang, Chengjun Yu, Yang Cao, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EigenVI: score-based variational inference with orthogonal function expansions
Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Elliptical Attention
Stefan K. Nielsen, Laziz U. Abdullaev, Rachel S.Y. Teo, Tan M. Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Elucidating the Design Space of Dataset Condensation
Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer, Grigory Yaroslavtsev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Embedding-Aligned Language Models
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park, Maya Okawa, Andrew Lee, Hidenori Tanaka, Ekdeep Singh Lubana
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Emergence of heavy tails in homogenized stochastic gradient descent
Zhe Jiao, Martin Keller-Ressel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, Alexander G. Hauptmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Empowering Visible-Infrared Person Re-Identification with Large Foundation Models
Zhangyi Hu, Bin Yang, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales, Stefanos Nikolaidis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
End-to-End Ontology Learning with Large Language Models
Andy Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning
Xin Yang, Yan Wending, Michael Bi Mi, Yuan Yuan, Robby T. Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
End-to-end Learnable Clustering for Intent Learning in Recommendation
Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew Duncan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Energy-based Epistemic Uncertainty for Graph Neural Networks
Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux, Hisashi Kashima
Machine Learning
日本大学: 京都大学
2024 · NeurIPS
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
Shelly Golan, Roy Ganz, Michael Elad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
David Smerkous, Qinxun Bai, Li Fuxin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan, Lam Tran, Quyen Tran, Trung Le
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas Spanos, Adam Wierman, Ming Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
Chau Pham, Bryan A. Plummer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing LLM Reasoning via Vision-Augmented Prompting
Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing LLM’s Cognition via Structurization
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Large Language Models through Adaptive Tokenizers
Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
Penghui Ruan, Pichao Wang, Divya Saxena, Jiannong Cao, Yuhui Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Preference-based Linear Bandits via Human Response Time
Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
Rory Young, Nicolas Pugeault
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, Jiajuan Liang, Jian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Shangquan Sun, Wenqi Ren, Zikun Liu, Hyunhee Park, Rui Wang, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ensemble sampling for linear bandits: small ensembles suffice
David Janz, Alexander E. Litvak, Csaba Szepesvári
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Entity Alignment with Noisy Annotations from Large Language Models
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Entropy testing and its application to testing Bayesian networks
Clément L. Canonne, Joy Qiping Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Entrywise error bounds for low-rank approximations of kernel matrices
Alexander Modell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
Zhiyuan Min, Yawei Luo, Jianwen Sun, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
Dongsu Lee, Minhae Kwon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
Jiwoong Park, Yang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Equivariant Neural Diffusion for Molecule Generation
François Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Axel Elaldi, Guido Gerig, Neel Dey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Anh Bui, Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
Xiyuan Li, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
Anlan Yu, Shusen Jing, Ning Lyu, Wujie Wen, Zhiyuan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Estimating Epistemic and Aleatoric Uncertainty with a Single Model
Matthew A. Chan, Maria J. Molina, Christopher A. Metzler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Kai Tan, Pierre C. Bellec
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu, Nathan Kallus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Estimating the Hallucination Rate of Generative AI
Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David Blei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Euclidean distance compression via deep random features
Brett Leroux, Luis Rademacher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evaluating alignment between humans and neural network representations in image-based learning tasks
Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M Baczkowski, Christian F Doeller, Mona M Garvert, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evaluating the World Model Implicit in a Generative Model
Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evaluating the design space of diffusion-based generative models
Yuqing Wang, Ye He, Molei Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
Mingxiang Liao, Hannan Lu, Xinyu Zhang, Fang Wan, Tianyu Wang, Yuzhong Zhao, Wangmeng Zuo, Qixiang Ye, Jingdong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Even Sparser Graph Transformers
Hamed Shirzad, Honghao Lin, Balaji Venkatachalam, Ameya Velingker, David P. Woodruff, Danica J. Sutherland
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
Haiqian Han, Jianing Li, Henglu Wei, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）