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
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
Tong Wu, Yanpeng Zhao, Zilong Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval
Huilong Jin, Yingxue Zhang, Lei Shi, Shuang Zhang, Feifei Kou, Jiapeng Yang, Chuangying Zhu, Jia Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Equivalence Between Static and Dynamic Regret Minimization
Andrew Jacobsen, Francesco Orabona
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Improved Empirical Fisher Approximation for Natural Gradient Descent
Xiaodong Wu, Wenyi Yu, Chao Zhang, Philip Woodland
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
Yunzhe Hu, Difan Zou, Dong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Information Theoretic Perspective on Conformal Prediction
Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An effective framework for estimating individualized treatment rules
Joowon Lee, Jared D. Huling, Guanhua Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An engine not a camera: Measuring performative power of online search
Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard A. Louis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
Hugo Malard, Michel Olvera, Stéphane Lathuiliere, Slim Essid
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Analysing the Generalisation and Reliability of Steering Vectors
Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas, Adrià Garriga-Alonso, Robert Kirk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Analysis of Corrected Graph Convolutions
Robert Wang, Aseem Baranwal, Kimon Fontoulakis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
Chaitanya Goswami, Amanda Merkley
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
Atli Kosson, Bettina Messmer, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
Yinuo Jing, Ruxu Zhang, Kongming Liang, Yongxiang Li, Zhongjiang He, Zhanyu Ma, Jun Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Any2Policy: Learning Visuomotor Policy with Any-Modality
Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
Yuhan Li, Hao Zhou, Wenxiang Shang, Ran Lin, Xuanhong Chen, BingBing Ni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approaching Human-Level Forecasting with Language Models
Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
Shaoqi Wang, Chunjie Yang, Siwei Lou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximately Equivariant Neural Processes
Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel Bruinsma, Richard E. Turner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
Anna Arutyunova, Jan Eube, Heiko Röglin, Melanie Schmidt, Sarah Sturm, Julian Wargalla
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximating mutual information of high-dimensional variables using learned representations
Gokul Gowri, Xiao-Kang Lun, Allon M. Klein, Peng Yin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximating the Top Eigenvector in Random Order Streams
Praneeth Kacham, David P. Woodruff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximation Rate of the Transformer Architecture for Sequence Modeling
Haotian Jiang, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Approximation-Aware Bayesian Optimization
Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob R. Gardner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting
Yian Wang, Xiaowen Qiu, Jiageng Liu, Zhehuan Chen, Jiting Cai, Yufei Wang, Tsun-Hsuan Wang, Zhou Xian, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau, Nikolaos Karalias, Eric Lu, Jessica Xu, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Lingao Xiao, Yang He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
Lingjiao Chen, Jared Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Multiple Instance Learning Algorithms Learnable for Instances?
Jaeseok Jang, Hyuk-Yoon Kwon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Self-Attentions Effective for Time Series Forecasting?
Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
Maohao Shen, J. Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are We on the Right Way for Evaluating Large Vision-Language Models?
Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
Dhananjay Tomar, Alexander Binder, Andreas Kleppe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Artemis: Towards Referential Understanding in Complex Videos
Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
Jianning Deng, Kartic Subr, Hakan Bilen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval
Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Association Pattern-aware Fusion for Biological Entity Relationship Prediction
Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
François Bertholom, Randal Douc, François Roueff
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Asynchronous Perception Machine for Efficient Test Time Training
Rajat Modi, Yogesh Singh Rawat
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
Yunuo Chen, Tianyi Xie, Zeshun Zong, Xuan Li, Feng Gao, Yin Yang, Ying Nian Wu, Chenfanfu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Attack-Aware Noise Calibration for Differential Privacy
Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Attack-Resilient Image Watermarking Using Stable Diffusion
Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Attention boosted Individualized Regression
Guang Yang, Yuan Cao, Long Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang, Qing Li, Xudong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Auditing Local Explanations is Hard
Robi Bhattacharjee, Ulrike von Luxburg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Auditing Privacy Mechanisms via Label Inference Attacks
Róbert István Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AutoPSV: Automated Process-Supervised Verifier
Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yunlong Feng, Zhijiang Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang
Machine Learning
日本大学: 東京科学大学
2024 · NeurIPS
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
Rong Ma, Jie Chen, Xiangyang Xue, Jian Pu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui, Prasenjit Mitra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automated Multi-level Preference for MLLMs
Mengxi Zhang, Wenhao Wu, Yu Lu, Yuxin Song, Kang Rong, Huanjin Yao, Jianbo Zhao, Fanglong Liu, Haocheng Feng, Jingdong Wang, Yifan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automatic Outlier Rectification via Optimal Transport
Jose Blanchet, Jiajin Li, Markus Pelger, Greg Zanotti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automatically Learning Hybrid Digital Twins of Dynamical Systems
Samuel Holt, Tennison Liu, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie, Xueru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autonomous Agents for Collaborative Task under Information Asymmetry
Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autonomous Driving with Spiking Neural Networks
Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI
Guanxiong Luo, Shoujin Huang, Martin Uecker
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autoregressive Image Generation without Vector Quantization
Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Autoregressive Policy Optimization for Constrained Allocation Tasks
David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Average gradient outer product as a mechanism for deep neural collapse
Daniel Beaglehole, Peter Súkeník, Marco Mondelli, Mikhail Belkin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Axioms for AI Alignment from Human Feedback
Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
Runze You, Shi Pu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar, Zhuoran Peng, Lerrel Pinto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
Machine Learning
日本大学: 関与なし（対象大学）