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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
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
Dehao Zhang, Malu Zhang, Shuai Wang, Jingya Wang, Wenjie Wei, Zeyu Ma, Guoqing Wang, Yang Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
Han Xu, Yuyang Li, Yunfei Deng, Jiayi Ma, Guangcan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
Tianteng Gu, Bei Liu, Bo Xiao, Ke Zeng, Jiacheng Liu, Yanmin Qian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection
Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Fuqiang Du, Jingyuan Li, Lanchi Xie, Zhen Xu, Weiqing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dense Associative Memory with Epanechnikov Energy
Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian, Dmitry Krotov, Parikshit Ram
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
Ashwinee Panda, Vatsal Baherwani, Zain Sarwar, Benjamin Thérien, Sambit Sahu, Tom Goldstein, Supriyo Chakraborty
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting
Boyu Li, Peiqi Duan, Zhaojun Huang, Xinyu Zhou, Yifei Xia, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dense SAE Latents Are Features, Not Bugs
Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
Xiangyu Wen, Min Li, Junhua Huang, Jianyuan Zhong, Zhijian Xu, Zeju Li, Yongxiang Huang, Mingxuan Yuan, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dependency Parsing is More Parameter-Efficient with Normalization
Paolo Gajo, Domenic Rosati, Hassan Sajjad, Alberto Barrón-Cedeño
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deployment Efficient Reward-Free Exploration with Linear Function Approximation
Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S Du, Lin F. Yang, Ruosong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Depth-Bounds for Neural Networks via the Braid Arrangement
Moritz Grillo, Christoph Hertrich, Georg Loho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang, Bowei Zhang, Jinyuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Depth-Width Tradeoffs for Transformers on Graph Tasks
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung, Jie M. Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gokcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Detecting Data Deviations in Electronic Health Records
Kaiping Zheng, Horng-Ruey Chua, Beng Chin Ooi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Detecting Generated Images by Fitting Natural Image Distributions
Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Detecting High-Stakes Interactions with Activation Probes
Alex McKenzie, Urja Pawar, Phil Blandfort, William Bankes, David Krueger, Ekdeep S Lubana, Dmitrii Krasheninnikov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
Tianshuo Zhang, Li Gao, Siran Peng, Xiangyu Zhu, Zhen Lei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
Kefei Zhu, Fengshuo Bai, YuanHao Xiang, Yishuai Cai, Xinglin Chen, Ruochong Li, Xingtao Wang, Hao Dong, Yaodong Yang, Xiaopeng Fan, Yuanpei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
Yuran Wang, Ruihai Wu, Yue Chen, Jiarui Wang, Jiaqi Liang, Ziyu Zhu, Haoran Geng, Jitendra Malik, Pieter Abbeel, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
Yuang Ai, Qihang Fan, Xuefeng Hu, Zhenheng Yang, Ran He, Huaibo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek, Maciej Zieba, Marek Śmieja
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
Sikai Bai, Haoxi Li, Jie ZHANG, Zicong Hong, Song Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu, Yixin Gao, Xin Li, Xin Jin, Zhibo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiffBreak: Is Diffusion-Based Purification Robust?
Andre Kassis, Urs Hengartner, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen, Fei Gao, Zhenhai Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
Ozgur Kara, Harris Nisar, James M. Rehg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
Yuxiang Li, Yang Zhang, Li, Mengxuan Chen, Meng Jin, Fang Wang, Haohuan Fu, Juepeng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Constraint-Based Causal Discovery
Jincheng Zhou, Mengbo Wang, Anqi He, Yumeng Zhou, Hessam Olya, Murat Kocaoglu, Bruno Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Decision Tree via "ReLU+Argmin" Reformulation
Qiangqiang Mao, Jiayang Ren, Yixiu Wang, Chenxuanyin Zou, Jingjing Zheng, Yankai Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Generalized Sliced Wasserstein Plans
Laetitia Chapel, Romain Tavenard, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano, Changkyu Choi, Adín Ramírez Rivera
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Chris Kolb, Laetitia Frost, Bernd Bischl, David Rügamer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey, Yusu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differential Privacy on Fully Dynamic Streams
Yuan Qiu, Ke Yi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
Andrew Lowy, Daogao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
Ming Wen, Jiaqi Zhu, Yuedong Xu, Yipeng Zhou, DINGDING HAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private Gomory-Hu Trees
Anders Aamand, Justin Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private High-dimensional Variable Selection via Integer Programming
Petros Prastakos, Kayhan Behdin, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private Quantiles with Smaller Error
Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Differentiation Through Black-Box Quadratic Programming Solvers
Connor Magoon, Fengyu Yang, Noam Aigerman, Shahar Kovalsky
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via, Enzo Tartaglione, Francesca Odone, Vittorio Murino
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
Byeonghu Na, Minsang Park, Gyuwon Sim, Donghyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Beats Autoregressive in Data-Constrained Settings
Mihir Prabhudesai, Mengning Wu, Amir Zadeh, Katerina Fragkiadaki, Deepak Pathak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting
Eunseo Koh, Sangeek Hyun, MinKyu Lee, Jiwoo Chung, Kangmin Seo, Jae-Pil Heo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini, Tuan Anh Le, Djork-Arné Clevert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
Tao Zhang, Cheng Da, Kun Ding, Huan Yang, kun jin, Yan Li, Tingting Gao, Di ZHANG, SHIMING XIANG, Chunhong Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Models Meet Contextual Bandits
Imad Aouali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
Tyler Farghly, Peter Potaptchik, Samuel Howard, George Deligiannidis, Jakiw Pidstrigach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Network Inference for Cross-layer Cascades
Siyu Huang, Yubai Yuan, Abdul Basit Adeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Transformers as Open-World Spatiotemporal Foundation Models
Yuan Yuan, Chonghua Han, Jingtao Ding, Guozhen Zhang, Depeng Jin, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
Vineet Jain, Kusha Sareen, Mohammad Pedramfar, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh, Nam Ik Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Ruitao Wu, Yifan Zhao, Guangyao Chen, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou, Wenrui Dai, XIAOPENG ZHANG, Junni Zou, Hongkai Xiong, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, Junhyug Noh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diffusion-Guided Graph Data Augmentation
Maria Marrium, Arif Mahmood, Muhammad Haris Khan, M. Shakeel, Wenxiong Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis
Hengyuan Cao, Yutong Feng, Biao Gong, Yijing Tian, Yunhong Lu, Chuang Liu, Bin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dimension-adapted Momentum Outscales SGD
Damien Ferbach, Katie Everett, Gauthier Gidel, Elliot Paquette, Courtney Paquette
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
Syamantak Kumar, Dheeraj Nagaraj, Purnamrita Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dimensional Collapse in VQVAEs: Evidence and Remedies
Jiayou Zhang, Yifan Shen, Guangyi Chen, Le Song, Eric P Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dimensionality Mismatch Between Brains and Artificial Neural Networks
Santiago Galella, Maren Wehrheim, Matthias Kaschube
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Direct Alignment with Heterogeneous Preferences
Ali Shirali, Arash Nasr-Esfahany, Abdullah Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D Procaccia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Direct Fisher Score Estimation for Likelihood Maximization
Sherman Khoo, Yakun Wang, Song Liu, Mark Beaumont
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
Xingjian Ran, Yixuan Li, Linning Xu, Mulin Yu, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Yikang Yang, yajie bao, Jiachen Qian, Siyu Zhu, Xun Cao, Philip H.S. Torr, Yao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
Thanh-Dat Truong, Huu-Thien Tran, Tran Son, Bhiksha Raj, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
Gang Li, Ming C. Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DisMo: Disentangled Motion Representations for Open-World Motion Transfer
Thomas Ressler-Antal, Frank Fundel, Malek Ben Alaya, Stefan Andreas Baumann, Felix Krause, Ming Gui, Björn Ommer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Compositional Hallucinations in LVLMs
Sibei Yang, Ge Zheng, Jiajin Tang, Jiaye Qian, Hanzhuo Huang, Cheng Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Data Structures: Nearest Neighbor Search and Beyond
Omar Salemohamed, Laurent Charlin, Shivam Garg, Vatsal Sharan, Gregory Valiant
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji, Liujuan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang, Fangrui Huang, Zahra TehraniNasab, Amar Kumar, Tal Arbel, Fei-Fei Li, Ehsan Adeli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Opinion Intervals from Conflicts in Signed Graphs
Peter Blohm, Florian Chen, Aristides Gionis, Stefan Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discovering Symbolic Partial Differential Equation by Abductive Learning
En-Hao Gao, Cunjing Ge, Yuan Jiang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang, Yingbin Liang, Lifeng LAI, Ness Shroff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discrete Neural Flow Samplers with Locally Equivariant Transformer
Zijing Ou, Ruixiang Zhang, Yingzhen Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
Javier E. Santos, Agnese Marcato, Roman Colman, NIcholas Lubbers, Yen Ting Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
Hongyi Henry Jin, Zijun Ding, Dung Daniel Ngo, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
Lu Gao, Wenlan Chen, Daoyuan Wang, Fei Guo, Cheng Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangled Representation Learning via Modular Compositional Bias
whie jung, Dong Hoon Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangling Latent Shifts of In-Context Learning with Weak Supervision
Josip Jukić, Jan Šnajder
Machine Learning
日本大学: 関与なし（対象大学）