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
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OPUS: Occupancy Prediction Using a Sparse Set
Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Observational Scaling Laws and the Predictability of Langauge Model Performance
Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
Adam Sun, Tiange Xiang, Scott Delp, Li Fei-Fei, Ehsan Adeli
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Owen Dugan, Donato M. Jiménez-Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljačić
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
Audrey Huang, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
Chuyang Zhao, Yuxin Song, Junru Chen, Kang Rong, Haocheng Feng, Gang Zhang, Shufan Ji, Jingdong Wang, Errui Ding, Yifan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Off-Policy Selection for Initiating Human-Centric Experimental Design
Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee, Cong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Offline Behavior Distillation
Shiye Lei, Sen Zhang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Offline Multitask Representation Learning for Reinforcement Learning
Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
Jian Qian, Haichen Hu, David Simchi-Levi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Oja's Algorithm for Streaming Sparse PCA
Syamantak Kumar, Purnamrita Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
Junke Wang, Yi Jiang, Zehuan Yuan, Binyue Peng, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Omnigrasp: Grasping Diverse Objects with Simulated Humanoids
Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, Weipeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On $f$-Divergence Principled Domain Adaptation: An Improved Framework
Ziqiao Wang, Yongyi Mao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Affine Homotopy between Language Encoders
Robin S. M. Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Causal Discovery in the Presence of Deterministic Relations
Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Yusu Hong, Junhong Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Differentially Private Subspace Estimation in a Distribution-Free Setting
Eliad Tsfadia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Differentially Private U Statistics
Kamalika Chaudhuri, Po-Ling Loh, Shourya Pandey, Purnamrita Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Divergence Measures for Training GFlowNets
Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Feature Learning in Structured State Space Models
Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Xiufeng Song, Xiao Guo, Jiache Zhang, Qirui Li, Lei Bai, Xiaoming Liu, Guangtao Zhai, Xiaohong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li, Alexander J. Thomson, Houssam Nassif, Matthew M. Engelhard, David Page
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov, Christos Louizos
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Socially Fair Low-Rank Approximation and Column Subset Selection
Zhao Song, Ali Vakilian, David P. Woodruff, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang [北海道大学] [東京科学大学], Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 北海道大学 / 東京科学大学
2024 · NeurIPS
On Sparse Canonical Correlation Analysis
Yongchun Li, Santanu S. Dey, Weijun Xie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Tractable $\Phi$-Equilibria in Non-Concave Games
Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On Weak Regret Analysis for Dueling Bandits
El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák, Nicolas Verzelen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On conditional diffusion models for PDE simulations
Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On provable privacy vulnerabilities of graph representations
Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On scalable oversight with weak LLMs judging strong LLMs
Zachary Kenton, Noah Y. Siegel, János Kramár, Jonah Brown-Cohen, Samuel Albanie, Jannis Bulian, Rishabh Agarwal, David Lindner, Yunhao Tang, Noah D. Goodman, Rohin Shah
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Ability of Developers' Training Data Preservation of Learnware
Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Adversarial Robustness of Benjamini Hochberg
Louis L Chen, Roberto Szechtman, Matan Seri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu, Virginia Smith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Comparison between Multi-modal and Single-modal Contrastive Learning
Wei Huang, Andi Han, Yongqiang Chen, Yuan Cao, Zhiqiang Xu, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
On the Complexity of Identification in Linear Structural Causal Models
Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Computational Complexity of Private High-dimensional Model Selection
Saptarshi Roy, Zehua Wang, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Computational Landscape of Replicable Learning
Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnović
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Efficiency of ERM in Feature Learning
Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Expressive Power of Tree-Structured Probabilistic Circuits
Lang Yin, Han Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen, Karsten Borgwardt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
Guhan Chen, Yicheng Li, Qian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Inductive Bias of Stacking Towards Improving Reasoning
Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Limitations of Fractal Dimension as a Measure of Generalization
Charlie B. Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
Shinji Ito
Machine Learning
日本大学: 東京大学
2024 · NeurIPS
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Noise Robustness of In-Context Learning for Text Generation
Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
Alexander Tyurin, Peter Richtárik
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
Zhiyuan Fan, Christian Kroer, Gabriele Farina
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Parameter Identifiability of Partially Observed Linear Causal Models
Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Power of Decision Trees in Auto-Regressive Language Modeling
Yulu Gan, Tomer Galanti, Tomaso Poggio, Eran Malach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Power of Small-size Graph Neural Networks for Linear Programming
Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
Aditya Bhaskara, Agastya Vibhuti Jha, Michael Kapralov, Naren Sarayu Manoj, Davide Mazzali, Weronika Wrzos-Kaminska
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Role of Attention Masks and LayerNorm in Transformers
Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
Awni Altabaa, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Saturation Effects of Spectral Algorithms in Large Dimensions
Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Scalability of Certified Adversarial Robustness with Generated Data
Thomas Altstidl, David Dobre, Arthur Kosmala, Björn Eskofier, Gauthier Gidel, Leo Schwinn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Sparsity of the Strong Lottery Ticket Hypothesis
Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Stability and Generalization of Meta-Learning
Yunjuan Wang, Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
Chao Wang, Xin He, Yuwen Wang, Junhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Use of Anchoring for Training Vision Models
Vivek Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the Worst Prompt Performance of Large Language Models
Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On the cohesion and separability of average-link for hierarchical agglomerative clustering
Eduardo S. Laber, Miguel Batista
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
Zhixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
Weida Li, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
Zhenyu Wang, Yali Li, Hengshuang Zhao, Shengjin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-Step Diffusion Distillation through Score Implicit Matching
Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-jun Qi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
Junyuan Zhang, Songhua Liu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
Kai Hu, Jinhao Li, Yuan Zhang, Xiongjun Ye, Xieping Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · NeurIPS
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao
Machine Learning
日本大学: 関与なし（対象大学）