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
Video Diffusion Models are Training-free Motion Interpreter and Controller
Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Video Token Merging for Long Video Understanding
Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
VideoTetris: Towards Compositional Text-to-Video Generation
Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients
Xingyu Cui, Huanjing Yue, Song Li, Xiangjun Yin, Yusen Hou, Yun Meng, Kai Zou, Xiaolong Hu, Jingyu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
VisMin: Visual Minimal-Change Understanding
Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision Foundation Model Enables Generalizable Object Pose Estimation
Kai Chen, Yiyao Ma, Xingyu Lin, Stephen James, Jianshu Zhou, Yun-Hui Liu, Pieter Abbeel, Qi Dou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision Mamba Mender
Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision-Language Models are Strong Noisy Label Detectors
Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vision-Language Navigation with Energy-Based Policy
Rui Liu, Wenguan Wang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Zhe Chen, Wenhai Wang, Xizhou Zhu, Lewei Lu, Tong Lu, Ping Luo, Yu Qiao, Jifeng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty, Yinong (Oliver) Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando De la Torre
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Fourier Prompt Tuning
Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Perception by Large Language Model’s Weights
Feipeng Ma, Hongwei Xue, Yizhou Zhou, Guangting Wang, Fengyun Rao, Shilin Yan, Yueyi Zhang, Siying Wu, Mike Zheng Shou, Xiaoyan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Pinwheel Centers Act as Geometric Saliency Detectors
Haixin Zhong, Mingyi Huang, Wei P. Dai, Haoyu Wang, Anna Wang Roe, Yuguo Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Prompt Tuning in Null Space for Continual Learning
Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Vivid-ZOO: Multi-View Video Generation with Diffusion Model
Bing Li, Cheng Zheng, Wenxuan Zhu, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
Kun Yan, Zeyu Wang, Lei Ji, Yuntao Wang, Nan Duan, Shuai Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WATT: Weight Average Test Time Adaptation of CLIP
David Osowiechi, Mehrdad Noori, Gustavo A. Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Warm-starting Push-Relabel
Sami Davies, Sergei Vassilvitskii, Yuyan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
Asaf Cassel, Aviv Rosenberg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
Jiaming Lv, Haoyuan Yang, Peihua Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
Takuo Matsubara
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds
Charles Arnal, David Cohen-Steiner, Vincent Divol
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
Eva Giboulot, Teddy Furon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Watermarking Makes Language Models Radioactive
Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weak Supervision Performance Evaluation via Partial Identification
Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
Qi Chen, Bowen Zhang, Gang Wang, Qi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz, Manuel Heurich, Tim Landgraf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments
Mixue Xie, Shuang Li, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weight decay induces low-rank attention layers
Seijin Kobayashi, Yassir Akram, Johannes von Oswald
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Tehila Dahan, Kfir Y. Levy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What If the Input is Expanded in OOD Detection?
Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
Yilun Zheng, Sitao Luan, Lihui Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Makes Partial-Label Learning Algorithms Effective?
Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H.S. Torr, Amartya Sanyal, Puneet K. Dokania
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
Yiting Chen, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What do Graph Neural Networks learn? Insights from Tropical Geometry
Tuan Anh Pham, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What does guidance do? A fine-grained analysis in a simple setting
Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
Daniel Hothem, Ashe Miller, Timothy Proctor
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What makes unlearning hard and what to do about it
Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
What type of inference is planning?
Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When Is Inductive Inference Possible?
Zhou Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
Leon Lang, Davis Foote, Stuart Russell, Anca Dragan, Erik Jenner, Scott Emmons
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When are dynamical systems learned from time series data statistically accurate?
Jeongjin (Jayjay) Park, Nicole Tianjiao Yang, Nisha Chandramoorthy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When does perceptual alignment benefit vision representations?
Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When is Multicalibration Post-Processing Necessary?
Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When is an Embedding Model More Promising than Another?
Maxime DARRIN, Philippe FORMONT, Ismail BEN AYED, Jackie Chi Kit CHEUNG, Pablo PIANTANIDA
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
Marah Ghoummaid, Uri Shalit
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Where does In-context Learning Happen in Large Language Models?
Suzanna Sia, David Mueller, Kevin Duh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval
Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Who's asking? User personas and the mechanics of latent misalignment
Asma Ghandeharioun, Ann Yuan, Marius Guerard, Emily Reif, Michael A. Lepori, Lucas Dixon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar, Jenna Wiens
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why Do We Need Weight Decay in Modern Deep Learning?
Francesco D'Angelo, Maksym Andriushchenko, Aditya Varre, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why Go Full? Elevating Federated Learning Through Partial Network Updates
Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why Transformers Need Adam: A Hessian Perspective
Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Dayal Singh Kalra, Maissam Barkeshli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why are Visually-Grounded Language Models Bad at Image Classification?
Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung-Levy
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Why the Metric Backbone Preserves Community Structure
Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wide Two-Layer Networks can Learn from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Machine Learning
日本大学: 千葉大学 / 東京大学
2024 · NeurIPS
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections
Jiacong Xu, Yiqun Mei, Vishal M. Patel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WildGaussians: 3D Gaussian Splatting In the Wild
Jonas Kulhanek, Songyou Peng, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wings: Learning Multimodal LLMs without Text-only Forgetting
Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang, Darren Key, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Wormhole Loss for Partial Shape Matching
Amit Bracha, Thomas Dagès, Ron Kimmel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
Kohei Miyaguchi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
Avelina Asada Hadji-Kyriacou, Ognjen Arandjelović
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
X-Ray: A Sequential 3D Representation For Generation
Tao Hu, Wenhang Ge, Yuyang Zhao, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）