NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

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
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalization Bounds for Rank-sparse Neural Networks
Antoine Ledent, Rodrigo Alves, Yunwen Lei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
Arya Honarpisheh, Mustafa Bozdag, Octavia Camps, Mario Sznaier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming
Hongyu Cheng, Amitabh Basu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I Jordan, Stuart J Russell, Song Mei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalization vs Specialization under Concept Shift
Alex Nguyen, David J Schwab, Vudtiwat Ngampruetikorn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Wei Feng, Zongyuan Ge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized Contrastive Learning for Universal Multimodal Retrieval
Jungsoo Lee, Janghoon Cho, Hyojin Park, Durga Malladi, Kyuwoong Hwang, Fatih Porikli, Sungha Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, Antonio Silveti-Falls, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
Yu-Jie Zhang, Sheng-An Xu, Peng Zhao, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Generalized Linear Mode Connectivity for Transformers
Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis, Antonio Orvieto, Sidak Pal Singh, Valentina Boeva
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized Top-k Mallows Model for Ranked Choices
Shahrzad Haddadan, Sara Ahmadian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo, Chi Zhang, Can Liao, Yifan Bu, Fangxu Zhou, Jinzhuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalizing Experience for Language Agents with Hierarchical MetaFlows
Shengda Fan, Xin Cong, Zhong Zhang, Yuepeng Fu, Yesai Wu, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu, Li Su, Zhe Xue, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generalizing while preserving monotonicity in comparison-based preference learning models
Julien Fageot, Peva Blanchard, Gilles Bareilles, Lê-Nguyên Hoang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
Tsung-Han (Patrick) Wu, Heekyung Lee, Jiaxin Ge, Joseph E Gonzalez, Trevor Darrell, David Chan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Computational Cognitive models using Large Language Models
Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony, Tobias Ludwig, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Creative Chess Puzzles
Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Federico Barbero, Johan Obando Ceron, Jiaxin Shi, Satinder P. Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Panqi Chen, Yifan Sun, Lei Cheng, YANG YANG, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo De Veciana
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Eunbyeol Cho, Jiyoun Kim, Minjae Lee, Sungjin Park, Edward Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating Physically Sound Designs from Text and a Set of Physical Constraints
Gregory Barber, Todd Henry, Mulugeta Haile
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generating and Checking DNN Verification Proofs
Hai Duong, ThanhVu Nguyen, Matthew Dwyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
Yang Li, Lvda Chen, Haonan Wang, Runzhong Wang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
Ruyi An, haicheng huang, Huangjie Zheng, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning
Nic Fishman, Gokul Gowri, Peng Yin, Jonathan Gootenberg, Omar Abudayyeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Model Inversion Through the Lens of the Manifold Hypothesis
Xiong Peng, Bo Han, Fengfei Yu, Tongliang Liu, Feng Liu, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
Aditya Sengar, Ali Hariri, Daniel Probst, PATRICK BARTH, Pierre Vandergheynst
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Perception of Shape and Material from Differential Motion
Xinran Han, Ko Nishino, Todd Zickler
Machine Learning
日本大学: 京都大学
2025 · NeurIPS
Generative Pre-trained Autoregressive Diffusion Transformer
Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jianlong Yuan, Nan Duan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative RLHF-V: Learning Principles from Multi-modal Human Preference
Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, wenqi chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo, Utkarsh Mishra, Yilun Du, Danfei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi, Carlo Lucibello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generative property enhancer: implicit guided generation through conditional density estimation
Pedro O O. Pinheiro, Pan Kessel, Aya Ismail, Sai Pooja Mahajan, Kyunghyun Cho, Saeed Saremi, Nataša Tagasovska
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
Xiangyu Guo, Zhanqian Wu, Kaixin Xiong, Ziyang Xu, Lijun Zhou, Gangwei Xu, Shaoqing Xu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wenyu Liu, Xinggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
Edward Fish, Richard Bowden
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
Wanjia Zhao, Jiaqi Han, Siyi Gu, Mingjian Jiang, James Y Zou, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
Zhanwei Zhang, kaiyuan liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
Atefeh Gilani, Naima Tasnim, Lalitha Sankar, Oliver Kosut
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion
Beibei Lin, Tingting Chen, Robby Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
Tingting Dan, Jiaqi Ding, Guorong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Shan Boqi, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data
Lubin Bai, Xiuyuan Zhang, Siqi Zhang, Zepeng Zhang, Haoyu Wang, Wei Qin, Shihong Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng, He Wu, Chunming Qiao, Junsong Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
Jiahe Li, Jiawei Zhang, Youmin Zhang, Xiao Bai, Jin Zheng, Xiaohan Yu, Lin Gu
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
GeoVideo: Introducing Geometric Regularization into Video Generation Model
Yunpeng Bai, Shaoheng Fang, Chaohui Yu, Fan Wang, Qixing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
Rubo Wang, Xingyu Gao, Peilin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias, Akbar Rafiey, Yifei Xu, Zhishang Luo, Behrooz Tahmasebi, Connie Jiang, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
Min Wang, Hao Yang, Qing Cheng, Jincai Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometric Mixture Models for Electrolyte Conductivity Prediction
Anyi Li, Jiacheng Cen, Songyou Li, Mingze Li, YANG YU, Wenbing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
Shizheng Wen, Arsh Kumbhat, Levi E. Lingsch, Sepehr Mousavi, Yizhou Zhao, Praveen Chandrashekar, Siddhartha Mishra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometry of Decision Making in Language Models
Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Geometry-Aware Edge Pooling for Graph Neural Networks
Katharina Limbeck, Lydia Mezrag, Guy Wolf, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression
Juan Chen, Honglin liu, Yingying Ao, Ting Zhang, Yan Huang, Xudong Liu, Biao Li, Jintao Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
Yang Xu, Swetha Ganesh, Washim Mondal, Qinbo Bai, Vaneet Aggarwal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert D. Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Global Minimizers of Sigmoid Contrastive Loss
Kiril Bangachev, Guy Bresler, Iliyas Noman, Yury Polyanskiy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Glocal Information Bottleneck for Time Series Imputation
Jie Yang, Kexin Zhang, Guibin Zhang, Philip S Yu, Kaize Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability
Burouj Armgaan, Eshan Jain, Harsh Pandey, Mahesh Chandran, Sayan Ranu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Go With the Flow: Fast Diffusion for Gaussian Mixture Models
George Rapakoulias, Ali Reza Pedram, Fengjiao Liu, Lingjiong Zhu, Panagiotis Tsiotras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GoRA: Gradient-driven Adaptive Low Rank Adaptation
haonan he, Peng Ye, Yuchen Ren, yuan yuan, LuyangZhou, ShucunJu, lei chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing
Rongyao Fang, Chengqi Duan, Kun Wang, Linjiang Huang, Hao Li, Hao Tian, Shilin Yan, Weihao Yu, Xingyu Zeng, Jifeng Dai, Xihui Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GoalLadder: Incremental Goal Discovery with Vision-Language Models
Alexey Zakharov, Shimon Whiteson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Indrashis Das, Mahmoud Safari, Steven Adriaensen, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GradMetaNet: An Equivariant Architecture for Learning on Gradients
Yoav Gelberg, Yam Eitan, Aviv Navon, Aviv Shamsian, Theo (Moe) Putterman, Michael Bronstein, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae bhartari, Bowen Li, Paris Perdikaris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
John Vastola, Samuel J Gershman, Kanaka Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient Multi-Normalization for Efficient LLM Training
Meyer Scetbon, Chao Ma, Wenbo Gong, Ted Meeds
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
Teodora Reu, Sixtine Dromigny, Michael Bronstein, Francisco Vargas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient-Guided Epsilon Constraint Method for Online Continual Learning
Song Lai, Changyi Ma, Fei Zhu, Zhe Zhao, Xi Lin, GAOFENG MENG, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
Yuheng Zhao, Yu-Hu Yan, Kfir Y. Levy, Peng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
Florian Hölzl, Daniel Rueckert, Georgios Kaissis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks
Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Alignment via Birkhoff Relaxation
Sushil Varma, Irène Waldspurger, Laurent Massoulié
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Data Selection for Domain Adaptation: A Model-Free Approach
Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Diffusion that can Insert and Delete
Matteo Ninniri, Marco Podda, Davide Bacciu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Neural Network Based Action Ranking for Planning
Rajesh Mangannavar, Stefan Lee, Alan Fern, Prasad Tadepalli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Persistence goes Spectral
Mattie Ji, Amauri H. Souza, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph Your Own Prompt
Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
Machine Learning
日本大学: 総合研究大学院大学
2025 · NeurIPS
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang "Atlas" Wang, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
Kai Zheng, Jianxin Wang, Jinhui Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph-based Symbolic Regression with Invariance and Constraint Encoding
Ziyu Xiang, Kenna Ashen, Xiaofeng Qian, Xiaoning Qian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yunhai Wang, Yang Tian, Yueguo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, HUIPING ZHUANG, Xingcheng Fu, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）