NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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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
A Unified Framework for 3D Scene Understanding
Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch
Yue Wang, Zhongchang Sun, Shaofeng Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Unifying Normative Framework of Decision Confidence
Amelia M. Johnson, Micheal A. Buice, Koosha Khalvati
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie, Samira Samadi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A generalized neural tangent kernel for surrogate gradient learning
Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A hierarchical decomposition for explaining ML performance discrepancies
Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A probability contrastive learning framework for 3D molecular representation learning
Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
Yuri Kinoshita, Taro Toyoizumi
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
Yinuo Jiang, Xiuchuan Tang, Cheng Cheng, Ye Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A scalable generative model for dynamical system reconstruction from neuroimaging data
Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A teacher-teacher framework for clinical language representation learning
Feiqing Huang, Shenghan Zhang, Sara Morini Sweet, Tianxi Cai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning
Tom Yan, Zachary Lipton
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A theoretical design of concept sets: improving the predictability of concept bottleneck models
Max Ruiz Luyten, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A two-scale Complexity Measure for Deep Learning Models
Massimiliano Datres, Gian Paolo Leonardi, Alessio Figalli, David Sutter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun, Li Shen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ACFun: Abstract-Concrete Fusion Facial Stylization
Jiapeng Ji, Kun Wei, Ziqi Zhang, Cheng Deng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara [東京科学大学] [東京大学], Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Machine Learning
日本大学: 東京科学大学 / 東京大学
2024 · NeurIPS
AED: Adaptable Error Detection for Few-shot Imitation Policy
Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Peiyuan Feng, Yichen He, Guanhua Huang, Yuan Lin, Hanchong Zhang, Yuchen Zhang, Hang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai, Jifan Zhang, Robert Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AID: Attention Interpolation of Text-to-Image Diffusion
Qiyuan He, Jinghao Wang, Ziwei Liu, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
Seunghan Lee, Kibok Lee, Taeyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models
Yuchen Fu, Zhiwei Jiang, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, Qing Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AUC Maximization under Positive Distribution Shift
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
Machine Learning
日本大学: 京都大学
2024 · NeurIPS
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
Mingfei Chen, Eli Shlizerman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis
Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu, Yuyang Ji, Zhiyu Zhao, Gangshan Wu, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Abductive Reasoning in Logical Credal Networks
Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Abrupt Learning in Transformers: A Case Study on Matrix Completion
Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences
Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerated Regularized Learning in Finite N-Person Games
Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Augmentation Invariance Pretraining
Jinhong Lin, Cheng-En Wu, Yibing Wei, Pedro Morgado
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Blockwise Parallel Language Models with Draft Refinement
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Matroid Optimization through Fast Imprecise Oracles
Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr, Zhenwei Liu, Nicole Megow, Jens Schlöter
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
Ju Qi, Hei Falin, Feng Ting, Yi Dengbing, Fang Zhemei, Luo Yunfeng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Non-Maximum Suppression: A Graph Theory Perspective
King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
Ziyuan Huang, Kaixiang Ji, Biao Gong, Zhiwu Qing, Qinglong Zhang, Kecheng Zheng, Jian Wang, Jingdong Chen, Ming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Relative Entropy Coding with Space Partitioning
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accelerating Transformers with Spectrum-Preserving Token Merging
Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Zou, Binh T. Nguyen, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
Yinghao Wu, Chaoran Wang, Lu Yin, Shihui Guo, Yipeng Qin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin, Nicola Gnecco, Fanny Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process
Jiashuo Jiang, Yinyu Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Constant Regret in Linear Markov Decision Processes
Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen, Anderson Ye Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
Victor Boone, Zihan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Acoustic Volume Rendering for Neural Impulse Response Fields
Zitong Lan, Chenhao Zheng, Zhiwei Zheng, Mingmin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ActAnywhere: Subject-Aware Video Background Generation
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Dayoung Gong, Suha Kwak, Minsu Cho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
Yiqi Jiang, Hakki O. Akengin, Ji Zhou, Mehmet A. Aslihak, Yang Li, Radosław Chrapkiewicz, Oscar Hernandez, Sadegh Ebrahimi, Omar Jaidar, Yanping Zhang, Hakan Inan, Christopher Miranda, Fatih Dinct, Marta Blanco-Pozo, Mark J. Schnitzer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Action Imitation in Common Action Space for Customized Action Image Synthesis
Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng YAN, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee, Jihwan Kim, Jae-Pil Heo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Activation Map Compression through Tensor Decomposition for Deep Learning
Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Classification with Few Queries under Misspecification
Vasilis Kontonis, Mingchen Ma, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Learning of General Halfspaces: Label Queries vs Membership Queries
Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Perception for Grasp Detection via Neural Graspness Field
Haoxiang Ma, Modi Shi, Boyang Gao, Di Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active Set Ordering
Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active preference learning for ordering items in- and out-of-sample
Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Active, anytime-valid risk controlling prediction sets
Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ad Auctions for LLMs via Retrieval Augmented Generation
MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei, Suho Shin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
Teng Li, Liwen Zhang, Youcheng Zhang, Zijun Hu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
Benjamin Ellis, Matthew T. Jackson, Andrei Lupu, Alexander D. Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Adam with model exponential moving average is effective for nonconvex optimization
Kwangjun Ahn, Ashok Cutkosky
Machine Learning
日本大学: 関与なし（対象大学）