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
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful AlgorithmsYang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast Proxy Experiment Design for Causal Effect IdentificationSepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast Rates for Bandit PAC Multiclass ClassificationLiad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible SetsTaira Tsuchiya, Shinji Ito
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeZixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial OptimizationYang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement LearningAneesh Muppidi, Zhiyu Zhang, Heng Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast Tree-Field Integrators: From Low Displacement Rank to Topological TransformersKrzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast and Memory-Efficient Video Diffusion Using Streamlined InferenceZheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast samplers for Inverse Problems in Iterative Refinement modelsKushagra Pandey, Ruihan Yang, Stephan Mandt
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fast yet Safe: Early-Exiting with Risk ControlMetod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FastDrag: Manipulate Anything in One StepXuanjia Zhao, Jian Guan, Congyi Fan, Dongli Xu, Youtian Lin, Haiwei Pan, Pengming Feng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards ModelsJiachang Liu, Rui Zhang, Cynthia Rudin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function ConstraintsZhenwei Lin, Qi Deng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Algorithms for User-Level Private Stochastic Convex OptimizationAndrew Lowy, Daogao Liu, Hilal Asi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with PruningHao WU, Hanwen Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceSenmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Local Solvers for Graph Diffusion EquationsJiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock LevelAli Hassani, Wen-mei Hwu, Humphrey Shi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Faster Repeated Evasion Attacks in Tree EnsemblesLorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture ModificationJingfeng Yao, Cheng Wang, Wenyu Liu, Xinggang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fearless Stochasticity in Expectation PropagationJonathan So, Richard E. Turner
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identificationXi Yang, Huanling liu, De Cheng, Nannan Wang, Xinbo Gao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedAvP: Augment Local Data via Shared Policy in Federated LearningMinui Hong, Junhyeog Yun, Insu Jeon, Gunhee Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware AggregationJianqiao Zhang, Caifeng Shan, Jungong Han
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedGMark: Certifiably Robust Watermarking for Federated Graph LearningYuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningEvelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedLPA: One-shot Federated Learning with Layer-Wise Posterior AggregationXiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality ReductionZiwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized PreferenceZihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated LearningDario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Black-Box Adaptation for Semantic SegmentationJay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Ensemble-Directed Offline Reinforcement LearningDesik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client ResourcesJiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Graph Learning for Cross-Domain RecommendationZiqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodBikang Pan, Wei Huang, Ye Shi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Learning over Connected ModesDennis Grinwald, Philipp Wiesner, Shinichi Nakajima
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and AnalysisMichael Crawshaw, Mingrui Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Model Heterogeneous Matryoshka Representation LearningLiping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement LearningTong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-upsFengyu Gao, Ruiquan Huang, Jing Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked DataZhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Feedback control guides credit assignment in recurrent neural networksKlara Kaleb, Barbara Feulner, Juan A. Gallego, Claudia Clopath
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Feint Behaviors and Strategies: Formalization, Implementation and EvaluationJunyu Liu, Xiangjun Peng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Ferrari: Federated Feature Unlearning via Optimizing Feature SensitivityHanlin Gu, Win Kent Ong, Chee Seng Chan, Lixin Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fetch and Forge: Efficient Dataset Condensation for Object DetectionDing Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Few-Shot Adversarial Prompt Learning on Vision-Language ModelsYiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Few-Shot Diffusion Models Escape the Curse of DimensionalityRuofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Few-Shot Task Learning through Inverse Generative ModelingAviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua Tenenbaum, Tianmin Shu, Pulkit Agrawal
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage TrainingRuihong Yin, Vladimir Yugay, Yue Li, Sezer Karaoglu, Theo Gevers
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fight Back Against Jailbreaking via Prompt Adversarial TuningYichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FilterNet: Harnessing Frequency Filters for Time Series ForecastingKun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision MakingYangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion ModelsDominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Finding Transformer Circuits With Edge PruningAdithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Finding good policies in average-reward Markov Decision Processes without prior knowledgeAdrienne Tuynman, Rémy Degenne, Emilie Kaufmann
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence ImaginationRuochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at RandomMingming Ha, Xuewen Tao, Wenfang Lin, Qiongxu Ma, Wujiang Xu, Linxun Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement LearningYuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial ClientsYoussef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-Tuning is Fine, if CalibratedZheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and BeyondYingcong Li, Ankit Singh Rawat, Samet Oymak
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-grained Control of Generative Data Augmentation in IoT SensingTianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek Abdelzaher
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation ModelsYifan Zhang, Junhui Hou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained UnderstandingDong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image ModelsGong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-OffsBen Norman, Jeff Clune
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
First-Order Methods for Linearly Constrained Bilevel OptimizationGuy Kornowski, Swati Padmanabhan, Kai Wang, Jimmy Zhang, Suvrit Sra
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
First-Order Minimax Bilevel OptimizationYifan Yang, Zhaofeng Si, Siwei Lyu, Kaiyi Ji
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fisher Flow Matching for Generative Modeling over Discrete DataOscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fixed Confidence Best Arm Identification in the Bayesian SettingKyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisionJay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, Tri Dao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flatten Anything: Unsupervised Neural Surface ParameterizationQijian Zhang, Junhui Hou, Wenping Wang, Ying He
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAMChenxin Li, Yuzhi Huang, Wuyang Li, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-ExpertsSukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlexCap: Describe Anything in Images in Controllable DetailDebidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality RepresentationRuizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlexSBDD: Structure-Based Drug Design with Flexible Protein ModelingZaixi Zhang, Mengdi Wang, Qi Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flexible Context-Driven Sensory Processing in Dynamical Vision ModelsLakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, Ila Fiete
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signalsAbhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flexible task abstractions emerge in linear networks with fast and bounded unitsKai Sandbrink, Jan P. Bauer, Alexandra M. Proca, Andrew M. Saxe, Christopher Summerfield, Ali Hummos
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category DiscoveryHaonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flipping-based Policy for Chance-Constrained Markov Decision ProcessesXun Shen, Shuo Jiang [東京科学大学] [大阪大学], Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros
Machine Learning
日本大学: 東京科学大学 / 大阪大学
2024 · NeurIPS
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory MatchingYasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion PerceptionShuangpeng Han, Ziyu Wang, Mengmi Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base DistributionsAnuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity RefinerWenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Focus On What Matters: Separated Models For Visual-Based RL GeneralizationDi Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual LearningXinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-yuan Li, Songcan Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FouRA: Fourier Low-Rank AdaptationShubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional EncodingZhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Foundation Inference Models for Markov Jump ProcessesDavid Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Foundations of Multivariate Distributional Reinforcement LearningHarley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation NowcastingChiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image FusionYu-Jie Liang, Zihan Cao, Shangqi Deng, Hong-Xia Dou, Liang-Jian Deng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Fractal Patterns May Illuminate the Success of Next-Token PredictionIbrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature EnhancementYanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated LearningMengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal AttentionYu Lu, Yuanzhi Liang, Linchao Zhu, Yi Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor ScenesYunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee
Machine Learning
日本大学: 関与なし(対象大学)