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

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
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
Huimin Han, Shaolin Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Continuous Subspace Optimization for Continual Learning
Quan Cheng, Yuanyu Wan, Lingyu Wu, Chenping Hou, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Continuous Thought Machines
Luke Darlow, Ciaran Regan, Sebastian Risi, Jeffrey Seely, Llion Jones
Machine Learning
日本大学: 筑波大学
2025 · NeurIPS
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi, Bohan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning
Viet Anh Khoa Tran, Emre Neftci, Willem Wybo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
Jiawei Sun, Shuai Zhang, Hongkang Li, Meng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Contrastive Representations for Temporal Reasoning
Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski, Benjamin Eysenbach, Piotr Miłoś
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Contrastive Self-Supervised Learning As Neural Manifold Packing
Guanming Zhang, David Heeger, Stefano Martiniani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Contribution of task-irrelevant stimuli to drift of neural representations
Farhad Pashakhanloo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts
Linfeng Tang, Yeda Wang, Zhanchuan Cai, Junjun Jiang, Jiayi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controllable Human-centric Keyframe Interpolation with Generative Prior
Zujin Guo, Size Wu, Zhongang Cai, Wei Li, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
Yuwu Lu, Chunzhi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controlling The Spread of Epidemics on Networks with Differential Privacy
Dũng Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controlling Thinking Speed in Reasoning Models
Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
Sebastian Kassing, Simon Weissmann, Leif Döring
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
Lachlan MacDonald, Hancheng Min, Leandro Palma, Salma Tarmoun, Ziqing Xu, Rene Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergence Rates of Constrained Expected Improvement
Haowei Wang, Jingyi Wang, Zhongxiang Dai, Nai-Yuan Chiang, Szu Hui Ng, Cosmin Petra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc Bellemare, David Meger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
Ofir Gaash, Kfir Y. Levy, Yair Carmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
Léo Dana, Loucas Pillaud-Vivien, Francis Bach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convergent Functions, Divergent Forms
Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman, Kuo-Hao Zeng, Ali Farhadi, Ranjay Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy
Rob Romijnders, Antti Koskela
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models
Zitao Yang, Amin Ullah, Shuai Li, Fuxin Li, Jun Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
Simone Azeglio, Olivier Marre, Peter Neri, Ulisse Ferrari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa Karabag, Ufuk Topcu, David Fridovich-Keil
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
Youmin Ko, Sungjong Seo, Hyunjoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Mustafa Hajij, Lennart Bastian, Sarah Osentoski, Hardik Kabaria, John Davenport, Dawood, Balaji Cherukuri, Joseph Kocheemoolayil, Nastaran Shahmansouri, Adrian Lew, Theodore Papamarkou, Tolga Birdal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
Qinfeng Li, Tianyue Luo, Xuhong Zhang, Yangfan Xie, Zhiqiang Shen, Lijun Zhang, Yier Jin, Hao Peng, Xinkui Zhao, XianWei Zhu, Jianwei Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
Ziyi Fang, Lingxiao Huang, Runkai Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Coresets for Clustering Under Stochastic Noise
Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi, Runkai Yang, Haoyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
Elfarouk Harb, Yousef Yassin, Chandra Chekuri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Correcting misinterpretations of additive models
Benedict Clark, Rick Wilming, Hjalmar Schulz, Rustam Zhumagambetov, Danny Panknin, Stefan Haufe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Corrector Sampling in Language Models
Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Correlated Low-Rank Adaptation for ConvNets
Wu Ran, Weijia Zhang, ShuYang Pang, Zhu, Jinfan Liu, JingSheng Liu, Xin Cao, Qiang Li, Yichao Yan, Chao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Correlation Dimension of Autoregressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
Machine Learning
日本大学: 早稲田大学
2025 · NeurIPS
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin, Aleksandr Abramov, Dmitry P Vetrov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cost-Aware Contrastive Routing for LLMs
Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
Ziqi Yuan, Haoyang Zhang, Yirui Zhou, Apoorve Mohan, I-Hsin Chung, Seetharami Seelam, Jian Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cost-aware LLM-based Online Dataset Annotation
Eray Can Elumar, Cem Tekin, Osman Yagan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
Ezgi Korkmaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual Evolution of Multimodal Datasets via Visual Programming
Minghe Gao, Zhongqi Yue, Wenjie Yan, Yihao Hu, Wei Ji, Siliang Tang, Jun Xiao, Tat-Seng Chua, Yueting Zhuang, Juncheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual Image Editing with Disentangled Causal Latent Space
Yushu Pan, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Counterfactual reasoning: an analysis of in-context emergence
Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
Shayan Mohajer Hamidi, Ben Liang, EN-HUI YANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma, Ricardo Henao, Lawrence Carin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
Yongmin Lee, Hye Won Chung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Covariate-moderated Empirical Bayes Matrix Factorization
William Denault, Karl Tayeb, Peter Carbonetto, Jason Willwerscheid, Matthew Stephens
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob Gardner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
Sophia Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Credal Prediction based on Relative Likelihood
Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
Will Merrill, Shane Arora, Dirk Groeneveld, Hanna Hajishirzi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
Qin Xu, Qihang Wu, Lu Hongtao, Xiaoxia Cheng, Bo Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
Yudong Li, Jingyuan Wang, Xie Yu, Peiyu Wang, Qian Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling
Eray Erturk, Saba Hashemi, Maryam M. Shanechi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde, Tianchi Huang, Jiangchuan Liu, Lifeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing
Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
Xingyu Chen, Shihao Ma, Runsheng Lin, Jiecong Lin, Bo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang, James M. Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curious Causality-Seeking Agents in Open-ended Worlds
Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curly Flow Matching for Learning Non-gradient Field Dynamics
Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapusniak, Ismail Ilkan Ceylan, Michael Bronstein, Joey Bose, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curriculum Abductive Learning
Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yu-Feng Li, Yuan Jiang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
Baoyi He, Luotian Yuan, Ying Wei, Fei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Leyang Hu, Matteo Gamba, Randall Balestriero
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning
Ronghao Lin, Qiaolin He, Sijie Mai, Ying Zeng, Aolin Xiong, Li Huang, Yap-Peng Tan, Haifeng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cyclic Counterfactuals under Shift–Scale Interventions
Saptarshi Saha, Dhruv Rathore, Utpal Garain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
Li Liang, Bo Miao, Xinyu Wang, NAVEED AKHTAR, Jordan Vice, Ajmal Mian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation
Hanchen Su, Xuyuan Li, Yan Zhou, zhuoyi lu, Ziwei Chai, Haozheng Wang, Chen Zhang, YANG YANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin, Yucai BAI, Li Sun, Dacheng Tao, Youjian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
shurong yang, Dong Wei, Yihuang Hu, Qiong Peng, Hong Liu, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
Lipei Zhang, Rui Sun, Zhongying Deng, Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica Aviles-Rivero
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
Tianle Liu, Fan Lyu, Chenggong Ni, Zhang, Fuyuan Hu, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
Yifan WANG, Hongfeng Ai, ruiqi li, Maowei Jiang, Quangao Liu, Jiahua Dong, ruiyuan kang, Alan Liang, Zihang Wang, ruikai liu, Cheng Jiang, Chenzhong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
Runpeng Xie, Quanwei Wang, Hao Hu, Zherui Zhou, Ni Mu, Xiyun Li, Yiqin Yang, Shuang Xu, Qianchuan Zhao, Bo Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAMamba: Vision State Space Model with Dynamic Adaptive Scan
Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
Jiacai Liu, Chaojie Wang, Chris Liu, Liang Zeng, Rui Yan, Yiwen Sun, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, juncai liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
Junchao Gong, Jingyi Xu, Ben Fei, Fenghua Ling, Wenlong Zhang, Kun Chen, Wanghan Xu, Weidong Yang, Xiaokang Yang, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting
Moonsoo Jeong, Dongbeen Kim, Minseong Kim, Sungkil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
Mo WANG, Kaining Peng, Jingsheng Tang, Hongkai Wen, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
Zixiang Li, Haoyu Wang, Wei Wang, Chuangchuang Tan, Yunchao Wei, Yao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer
Wentao Xu, Huiqiao Fu, Haoyu Dong, Zhehao Zhou, Chunlin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan, Salman H Khan, Ivan Laptev, Hisham Cholakkal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting
Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao, Xiang Lv
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DERD-Net: Learning Depth from Event-based Ray Densities
Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
Yongxin He, Shan Zhang, Yixuan Cao, Lei Ma, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）