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
Scalable Optimization in the Modular Norm
Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang, HaiYing Wang, Hao Helen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
Jiawei Fan, Chao Li, Xiaolong Liu, Anbang Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Law for Time Series Forecasting
Jingzhe Shi, Qinwei Ma, Huan Ma, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro Von Werra, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling Sign Language Translation
Biao Zhang, Garrett Tanzer, Orhan Firat
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling White-Box Transformers for Vision
Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling laws for learning with real and surrogate data
Ayush Jain, Andrea Montanari, Eren Sasoglu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
Lei Zhu, Fangyun Wei, Yanye Lu, Dong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia, Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Sadat Taghavi, Arad Maleki, Kian Shamsaie, Mahdi Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
Machine Learning
日本大学: 沖縄科学技術大学院大学
2024 · NeurIPS
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
Yunnan Wang, Ziqiang Li, Wenyao Zhang, Zequn Zhang, Baao Xie, Xihui Liu, Wenjun Zeng, Xin Jin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Scene Graph Generation with Role-Playing Large Language Models
Guikun Chen, Jin Li, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SceneCraft: Layout-Guided 3D Scene Generation
Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Schrodinger Bridge Flow for Unpaired Data Translation
Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
Qingqi Zhang, Ruize Xu, Risi Kondor
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Score Distillation via Reparametrized DDIM
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor Campagnolo Guizilini, Timur Bagautdinov, Vincent Sitzmann, Justin Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Score-Optimal Diffusion Schedules
Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Score-based generative models are provably robust: an uncertainty quantification perspective
Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Search for Efficient Large Language Models
Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
Andres Potapczynski, Shikai Qiu, Marc Finzi, Christopher Ferri, Zixi Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Second-order forward-mode optimization of recurrent neural networks for neuroscience
Youjing Yu, Rui Xia, Qingxi Ma, Máté Lengyel, Guillaume Hennequin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H.S. Torr, Lewis Hammond, Christian Schroeder de Witt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling
Dengwei Zhao, Shikui Tu, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu, Chao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction
Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John S. Zelek, David Anthony Clausi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL
Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Segment Any Change
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Segment Anything without Supervision
XuDong Wang, Jingfeng Yang, Trevor Darrell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
Shivam Grover, Amin Jalali, Ali Etemad
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Segmenting Watermarked Texts From Language Models
Xingchi Li, Guanxun Li, Xianyang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, Samet Oymak
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Selective Explanations
Lucas Monteiro Paes, Dennis Wei, Flavio P. Calmon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Selective Generation for Controllable Language Models
Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu, Jianing Zhu, Jiangchao Yao, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Calibrating Conformal Prediction
Lars van der Laan, Ahmed M. Alaa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Distilled Depth Refinement with Noisy Poisson Fusion
Jiaqi Li, Yiran Wang, Jinghong Zheng, Zihao Huang, Ke Xian, Zhiguo Cao, Jianming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Guided Masked Autoencoder
Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Guiding Exploration for Combinatorial Problems
Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takáč
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Labeling the Job Shop Scheduling Problem
Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
Nikil Roashan Selvam, Amil Merchant, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation
Ruize Zhang, Sheng Tang, Juan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-playing Adversarial Language Game Enhances LLM Reasoning
Pengyu Cheng, Yong Dai, Tianhao Hu, Han Xu, Zhisong Zhang, Lei Han, Nan Du, Xiaolong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Self-supervised Transformation Learning for Equivariant Representations
Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, HyeongGwon Hong, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SelfCodeAlign: Self-Alignment for Code Generation
Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Xin Qiu, Risto Miikkulainen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
Lixu Wang, Xinyu Du, Qi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semantic Routing via Autoregressive Modeling
Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semantics and Spatiality of Emergent Communication
Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
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
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar, Boaz Nadler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Semidefinite Relaxations of the Gromov-Wasserstein Distance
Junyu Chen, Binh T. Nguyen, Shang Hui Koh, Yong Sheng Soh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
Ui-Hyeop Shin, Sangyoun Lee, Taehan Kim, Hyung-Min Park
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
Zhoutong Wu, Yimu Zhang, Cong Fang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael Bronstein, Alexander Tong, Avishek Joey Bose
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul G. Krishnan, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequential Harmful Shift Detection Without Labels
Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lecue, Daniele Magazzeni, Manuela Veloso
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Ziyi Liu, Idan Attias, Daniel M. Roy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Mitchell Keren Taraday, Almog David, Chaim Baskin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sequoia: Scalable and Robust Speculative Decoding
Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Set-based Neural Network Encoding Without Weight Tying
Bruno Andreis, Soro Bedionita, Philip H.S. Torr, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
SfPUEL: Shape from Polarization under Unknown Environment Light
Youwei Lyu, Heng Guo, Kailong Zhang, Si Li, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
Alexander Tyurin, Marta Pozzi, Ivan Ilin, Peter Richtárik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shape analysis for time series
Thibaut Germain, Samuel Gruffaz, Charles Truong, Laurent Oudre, Alain Durmus
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shaping the distribution of neural responses with interneurons in a recurrent circuit model
David Lipshutz, Eero P. Simoncelli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shared Autonomy with IDA: Interventional Diffusion Assistance
Brandon J. McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
Rayen Dhahri, Alexander Immer, Betrand Charpentier, Stephan Günnemann, Vincent Fortuin
Machine Learning
日本大学: 関与なし（対象大学）