ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

Machine Learning

2025 · 3,703 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 · ICLR
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulić, Sofia Michel, Jean-Marc Andreoli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
Zulfikar Alom, Tran Gia Bao Ngo, Murat Kantarcioglu, Cuneyt Akcora
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama
Machine Learning
日本大学: 東北大学
2025 · ICLR
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao, Xiaochun Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GRAIN: Exact Graph Reconstruction from Gradients
Maria Drencheva, Ivo Petrov, Maximilian Baader, Dimitar I. Dimitrov, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan HU, Ming Cheng, Zirui Wang, Victor Prisacariu, Tristan Braud
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
Junzhe Jiang, Chun Gu, Yurui Chen, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GSE: Group-wise Sparse and Explainable Adversarial Attacks
Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Iman Mirzadeh, Keivan Alizadeh-Vahid, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
Peiye Zhuang, Songfang Han, Chaoyang Wang, Aliaksandr Siarohin, Jiaxu Zou, Michael Vasilkovsky, Vladislav Shakhrai, Sergei Korolev, Sergey Tulyakov, Hsin-Ying Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GameArena: Evaluating LLM Reasoning through Live Computer Games
Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GameGen-X: Interactive Open-world Game Video Generation
Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
Zhong Zheng, Haochen Zhang, Lingzhou Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gated Delta Networks: Improving Mamba2 with Delta Rule
Songlin Yang, Jan Kautz, Ali Hatamizadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos Soto, Matthew Reimherr, Aleksandra Slavkovic, Mark Shriver
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
Dan MacKinlay, Russell Tsuchida, Daniel Pagendam, Petra Kuhnert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping
Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Oztireli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian Mixture Counterfactual Generator
Jong-Hoon Ahn, Akshay Vashist
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian Splatting Lucas-Kanade
Liuyue Xie, Joel Julin, Koichiro Niinuma, Laszlo A. Jeni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Machine Learning
日本大学: 大阪大学
2025 · ICLR
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation
Yushi LAN, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo DAI, Xingang Pan, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Ziwei Yang, Zheng Chen, XIN LIU, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
Machine Learning
日本大学: 京都大学 / 大阪大学
2025 · ICLR
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
Yuancheng Xu, Udari Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
Zhiteng Li, Lele Chen, Jerone Andrews, Yunhao Ba, Yulun Zhang, Alice Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GenEx: Generating an Explorable World
TaiMing Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling
Jixun Yao, Hexin Liu, CHEN CHEN, Yuchen Hu, Ensiong Chng, Lei Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
Kalliopi Basioti, Pritish Sahu, Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GenXD: Generating Any 3D and 4D Scenes
Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li, Zhengyuan Yang, Jianfeng Wang, Gim H Lee, Lijuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
General Scene Adaptation for Vision-and-Language Navigation
Haodong Hong, Yanyuan Qiao, Sen Wang, Jiajun Liu, Qi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu, XIAOSHAN GAO, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang, Lingting Zhu, Buzhen Huang, Hanlin Chen, Gim H Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalizable Motion Planning via Operator Learning
Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
Xianyang Zhang, Huijuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
Behrooz Tahmasebi, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization and Distributed Learning of GFlowNets
Tiago Silva, Amauri Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi Chen, Jierui Zhu, Florian Shkurti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization through variance: how noise shapes inductive biases in diffusion models
John Vastola
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalized Behavior Learning from Diverse Demonstrations
Varshith Sreeramdass, Rohan Paleja, Letian Chen, Sanne van Waveren, Matthew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalized Video Moment Retrieval
Qin You, Qilong Wu, Yicong Li, Wei Ji, Li Li, Pengcheng Cai, Lina Wei, Roger Zimmermann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalizing Reasoning Problems to Longer Lengths
Changnan Xiao, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generalizing Weisfeiler-Lehman Kernels to Subgraphs
Dongkwan Kim, Alice Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, Matthew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generating Graphs via Spectral Diffusion
GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generating Likely Counterfactuals Using Sum-Product Networks
Jiří Němeček, Tomáš Pevný, Jakub Marecek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generating Physical Dynamics under Priors
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension
Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin
Machine Learning
日本大学: 大阪大学
2025 · ICLR
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Classifiers Avoid Shortcut Solutions
Alexander Li, Ananya Kumar, Deepak Pathak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steve Seitz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Monoculture in Large Language Models
Fan Wu, Emily Black, Varun Chandrasekaran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin SU, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal, Seyed Mehran Kazemi, Aviral Kumar, Rishabh Agarwal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
Si Chen, Richong Zhang, Xu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GeoLoRA: Geometric integration for parameter efficient fine-tuning
Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
Renqiu Xia, mingsheng li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
Slava Elizarov, Ciara Rowles, Simon Donné
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry of Lightning Self-Attention: Identifiability and Dimension
Nathan Henry, Giovanni Luca Marchetti, Kathlén Kohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
Lingjie Yi, Michael Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
Saket Tiwari, Omer Gottesman, George D Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
Yuwei Luo, Mohsen Bayati
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker, Vien A Ngo, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Glad: A Streaming Scene Generator for Autonomous Driving
Bin Xie, Yingfei Liu, Tiancai Wang, Jiale Cao, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection
Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Global Convergence of Policy Gradient in Average Reward MDPs
Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y Levy, R. Srikant, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
Yuchen Sun, Kejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, EN-HUI YANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Going Beyond Static: Understanding Shifts with Time-Series Attribution
Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
Sarp Aykent, Tian Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
Zihui Zhang, Yafei YANG, Hongtao Wen, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gradient correlation is a key ingredient to accelerate SGD with momentum
Julien Hermant, Marien Renaud, Jean-François Aujol, Charles Dossal, Aude Rondepierre
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gradient descent with generalized Newton’s method
Zhiqi Bu, Shiyun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gradient-Free Generation for Hard-Constrained Systems
Chaoran Cheng, Boran Han, Danielle Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W Mahoney, Bernie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo Comminiello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
Jason Piquenot, Maxime Berar, Romain Raveaux, Pierre Héroux, Jean-Yves RAMEL, Sébastien Adam
Machine Learning
日本大学: 関与なし（対象大学）