ICLR Papers
6,124 papers found • Page 29 of 123
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng et al.
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation
Hongyin Zhang, Pengxiang Ding, Shangke Lyu et al.
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang, Peng Sun, Tao Lin
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
Hongze CHEN, Zehong Lin, Jun Zhang
Glad: A Streaming Scene Generator for Autonomous Driving
Bin Xie, Yingfei Liu, Tiancai Wang et al.
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam
Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection
Guangsheng Bao, Yanbin Zhao, Juncai He et al.
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Jiahui Gao, Renjie Pi, Jipeng Zhang et al.
Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu et al.
Global Convergence of Policy Gradient in Average Reward MDPs
Navdeep Kumar, Yashaswini Murthy, Itai Shufaro et al.
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
Yuchen Sun, Kejun Huang
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
Connor Mooney, Zhongjian Wang, Jack Xin et al.
GLOMA: Global Video Text Spotting with Morphological Association
Han Wang, Yanjie Wang, Yang Li et al.
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu, Yunteng Geng, Yihang Zhang et al.
GMValuator: Similarity-based Data Valuation for Generative Models
Jiaxi Yang, Wenlong Deng, Benlin Liu et al.
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Shaobo Wang, Hongxuan Tang, Mingyang Wang et al.
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulić, Sofia Michel, Jean-Marc Andreoli
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong, Jiarui Feng, Hao Liu et al.
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
Xinhao Zhong, Bin Chen, Hao Fang et al.
Going Beyond Static: Understanding Shifts with Time-Series Attribution
Jiashuo Liu, Nabeel Seedat, Peng Cui et al.
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang, Ruihong Qiu, Guangdong Bai et al.
GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
Zewei Zhang, Huan Liu, Jun Chen et al.
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang, Rui Yang, Xi Chen et al.
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
Sarp Aykent, Tian Xia
GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
Zulfikar Alom, Tran Gia Bao Ngo, Murat Kantarcioglu et al.
GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
Shuhan Song, Ping Li, Ming Dun et al.
GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
Ziming Zhang, Fangzhou Lin, Haotian Liu et al.
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse et al.
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
Zihui Zhang, Yafei YANG, Hongtao Wen et al.
Gradient correlation is a key ingredient to accelerate SGD with momentum
Julien Hermant, Marien Renaud, Jean-François Aujol et al.
Gradient descent with generalized Newton’s method
Zhiqi Bu, Shiyun Xu
Gradient-Free Generation for Hard-Constrained Systems
Chaoran Cheng, Boran Han, Danielle Maddix et al.
GRAIN: Exact Graph Reconstruction from Gradients
Maria Drencheva, Ivo Petrov, Maximilian Baader et al.
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo et al.
Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
Jason Piquenot, Maxime Berar, Romain Raveaux et al.
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
Jianheng Tang, Qifan Zhang, Yuhan Li et al.
Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
Yifan Yang, Gang Chen, Hui Ma et al.
Graph-based Document Structure Analysis
Yufan Chen, Ruiping Liu, Junwei Zheng et al.
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju, Xingyi Yang, Qi Li et al.
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
Tao Feng, Yihang Sun, Jiaxuan You
Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting
Chong Cheng, Gaochao Song, Yiyang Yao et al.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
Yushun Dong, Patrick Soga, Yinhan He et al.
Graph Neural Networks Can (Often) Count Substructures
Paolo Pellizzoni, Till Schulz, Karsten Borgwardt
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann et al.
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay et al.
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
Jialong Chen, Bowen Deng, Zhen WANG et al.
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng, Yanzhen Shen, Jiaxuan You