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2022–2026 LIVE

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Machine Learning

2025 · 5,286 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。

2025 · NeurIPS
Video-R1: Reinforcing Video Reasoning in MLLMs
Kaituo Feng, Kaixiong Gong, Bohao Li, Zonghao Guo, Yibing Wang, Tianshuo Peng, Junfei Wu, Xiaoying Zhang, Benyou Wang, Xiangyu Yue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
Yongdong Luo, Xiawu Zheng, Guilin Li, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
Ziang Yan, Yinan He, Xinhao Li, Zhengrong Yue, Xiangyu Zeng, Yali Wang, Yu Qiao, Limin Wang, Yi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Boyd-Graber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoLucy: Deep Memory Backtracking for Long Video Understanding
Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoMAR: Autoregressive Video Generation with Continuous Tokens
Hu Yu, Biao Gong, Hangjie Yuan, DanDan Zheng, Weilong Chai, Jingdong Chen, Kecheng Zheng, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
Qi Wang, Yanrui Yu, Ye Yuan, Rui Mao, Tianfei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory
Young-Jae Park, Minseok Seo, Hae-Gon Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VideoVLA: Video Generators Can Be Generalizable Robot Manipulators
Yichao Shen, Fangyun Wei, Zhiying Du, Yaobo Liang, Yan Lu, Jiaolong Yang, Nanning Zheng, Baining Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
Xin Liu, Haoran Li, Dongbin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis
Chuang Wang, Haitao Zhou, Ling Luo, Qian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models
Zixun Fang, Kai Zhu, Zhiheng Liu, Yu Liu, Wei Zhai, Yang Cao, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
Haidong Xu, Guangwei Xu, Zhedong Zheng, Xiatian Zhu, Wei Ji, Xiangtai Li, Ruijie Guo, Meishan Zhang, Min zhang, Hao Fei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
wang lin, Wentao Hu, Liyu Jia, Kaihang Pan, Majun Zhang, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image
Junkun Chen, Aayush Bansal, Minh Vo, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition
Rahul Moorthy Mahesh, Jun-Jee Chao, Volkan Isler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation
Zheng Anlin, Xin Wen, Xuanyang Zhang, Chuofan Ma, Tiancai Wang, Gang Yu, Xiangyu Zhang, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision Function Layer in Multimodal LLMs
Cheng Shi, Yizhou Yu, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision Transformers Don't Need Trained Registers
Nicholas Jiang, Amil Dravid, Alexei A Efros, Yossi Gandelsman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision Transformers with Self-Distilled Registers
Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Yulu Qin, Dheeraj Varghese, Adam Dahlgren Lindström, Lucia Donatelli, Kanishka Misra, Najoung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision-centric Token Compression in Large Language Model
Ling Xing, Alex Jinpeng Wang, Rui Yan, Xiangbo Shu, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
Senqiao Yang, Junyi Li, Xin Lai, Jinming Wu, Wei Li, Zejun MA, Bei Yu, Hengshuang Zhao, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models
Tiezheng Zhang, Yitong Li, Yu-Cheng Chou, Jieneng Chen, Alan L. Yuille, Chen Wei, Junfei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
Fenil Doshi, Thomas Fel, Talia Konkle, George Alvarez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
Chanhyeong Yang, Taehoon song, Jihwan Park, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Instruction Bottleneck Tuning
Changdae Oh, Jiatong Li, Shawn Im, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
Anand Bhattad, Konpat Preechakul, Alexei A Efros
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs
Amirmohammad Izadi, Mohammadali Banayeeanzade, Fatemeh Askari, Ali Rahimiakbar, Mohammad Vahedi, Hosein Hasani, Mahdieh Baghshah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion
Shaowei Liu, David Yao, Saurabh Gupta, Shenlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
ZIhui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin
Machine Learning
日本大学: 東京科学大学
2025 · NeurIPS
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, MUSTAFA CANIM, Yue Liu, Anuj Kumar, Xin Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
Tianhe Wu, Jian Zou, Jie Liang, Lei Zhang, Kede Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VividFace: A Robost and High-Fidelity Video Face Swapping Framework
Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, ZHUOFAN ZONG, Shuo Qin, Yu Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
Qian Ma, Ruoxiang Xu, Yongqiang Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vocabulary-Guided Gait Recognition
Panjian Huang, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
Matthew Bull, Po-Chen Kuo, Andrew Smith, Michael Buice
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Vulnerable Data-Aware Adversarial Training
Yuqi Feng, Jiahao Fan, Yanan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WEDGE: Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency
Jun Yang, Cheng-Chi Wang, Bogdan "Bo" Stoica, Kexin Pei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
Ali Shehper, Anibal Medina-Mardones, Lucas Fagan, Bartłomiej Lewandowski, Angus Gruen, Yang Qiu, Piotr Kucharski, Zhenghan Wang, Sergei Gukov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WISA: World simulator assistant for physics-aware text-to-video generation
Jing Wang, Ao Ma, Ke Cao, Jun Zheng, Jiasong Feng, Zhanjie Zhang, Wanyuan Pang, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening
man zhou, Xuanhua He, Danfeng Hong, Bo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WMCopier: Forging Invisible Watermarks on Arbitrary Images
Ziping Dong, Chao Shuai, Zhongjie Ba, Peng Cheng, Zhan Qin, Qinglong Wang, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WaLRUS: Wavelets for Long range Representation Using State Space Methods
Hossein Babaei, Mel White, Sina Alemohammad, Richard Baraniuk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
Ziying Li, Xuequan Lu, Xinkui Zhao, Guanjie Cheng, Shuiguang Deng, Jianwei Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Xiaoyu Yang, Jie Lu, En Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, bin xia, Dingdong WANG, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue, Hanzi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer, Sylvain Le Corff, Vincent Lemaire, Antonio Ocello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou, Yidong Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM
Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaid, Girish Dwivedi, Luqi Gong, Qiuhong Ke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Watermarking Autoregressive Image Generation
Nikola Jovanović, Ismail Labiad, Tomáš Souček, Martin Vechev, Pierre Fernandez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction
shengchuan gao, Shuo Wang, Yabiao Wang, Ran Yi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wavelet Canonical Coherence for Nonstationary Signals
Haibo Wu, Marina Knight, Keiland Cooper, Norbert Fortin, Hernando Ombao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wavy Transformer
Satoshi Noguchi, Yoshinobu Kawahara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu, Wenhui Jiang, Li Niu, Yuming Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
Jiahao Wen, Hang Yu, Zhedong Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen, Tzu-Heng (Brian) Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Ré
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Hyungjoo Chae, Seonghwan Kim, Junhee Cho, Seungone Kim, Seungjun Moon, Gyeom Hwangbo, Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WebDancer: Towards Autonomous Information Seeking Agency
Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Robert Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yongkang Wu, Ji-Rong Wen, Yutao Zhu, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WhAM: Towards A Translative Model of Sperm Whale Vocalization
Orr Paradise, Liangyuan Chen, Pranav Muralikrishnan, Hugo Flores, Bryan Pardo, Roee Diamant, David Gruber, Shane Gero, Shafi Goldwasser
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Can RL Bring to VLA Generalization? An Empirical Study
Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, YI WU, Chao Yu, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
Omar Bennouna, Amine Bennouna, Saurabh Amin, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Do Latent Action Models Actually Learn?
Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper, Tom Wollschläger, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers
Pulkit Gopalani, Wei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Noam Razin, Zixuan Wang, Hubert Strauss, Stanley Wei, Jason D. Lee, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Matters in Data for DPO?
Yu Pan, Zhongze Cai, Huaiyang Zhong, Guanting Chen, Chonghuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses
Federico D'Agostino, Lisa Schwetlick, Matthias Bethge, Matthias Kümmerer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi, Nived Rajaraman, Michael Gastpar, Jason D. Lee, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What Really is a Member? Discrediting Membership Inference via Poisoning
Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What are you sinking? A geometric approach on attention sink
Valeria Ruscio, Umberto Nanni, Fabrizio Silvestri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What do you know? Bayesian knowledge inference for navigating agents
Matthias Schultheis, Jana-Sophie Schönfeld, Constantin A Rothkopf, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard Hovy, Roger Baker Grosse, Eric P Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
Keyon Vafa, Sarah Bentley, Jon Kleinberg, Sendhil Mullainathan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier, Sujai Hiremath, PROMIT GHOSAL, Kyra Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Are Concepts Erased From Diffusion Models?
Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Can Model-Free Reinforcement Learning be Enough for Thinking?
Josiah Hanna, Nicholas Corrado
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions
Moritz Willig, Tim Woydt, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Data Can't Meet: Estimating Correlation Across Privacy Barriers
Abhinav Chakraborty, Arnab Auddy, T. Tony Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective
Alireza Mousavi-Hosseini, Clayton Sanford, Denny Wu, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi, Luigi Gresele
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Does Curriculum Learning Help? A Theoretical Perspective
Raman Arora, Yunjuan Wang, Kaibo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product
Youqi WU, Jingwei Zhang, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Models Don’t Collapse: On the Consistency of Iterative MLE
Daniel Barzilai, Ohad Shamir
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
Quan Shi, Carlos E. Jimenez, Shunyu Yao, Nick Haber, Diyi Yang, Karthik Narasimhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
Zhuo Cao, Heming Du, Bingqing Zhang, Xin Yu, Xue Li, Sen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser Nam Lim, Harry Yang, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
Romy Luo, Zihui (Sherry) Xue, Alex Dimakis, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）