ICLR Papers
6,124 papers found • Page 28 of 123
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang et al.
Generalizable Motion Planning via Operator Learning
Sharath Matada, Luke Bhan, Yuanyuan Shi et al.
Generalization and Distributed Learning of GFlowNets
Tiago Silva, Amauri Souza, Omar Rivasplata et al.
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
Xianyang Zhang, Huijuan Zhou
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
Behrooz Tahmasebi, Stefanie Jegelka
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi Chen, Jierui Zhu, Florian Shkurti
Generalization through variance: how noise shapes inductive biases in diffusion models
John Vastola
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
Xinyi Wang, Antonis Antoniades, Yanai Elazar et al.
Generalized Behavior Learning from Diverse Demonstrations
Varshith Sreeramdass, Rohan Paleja, Letian Chen et al.
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim et al.
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Generalized Video Moment Retrieval
Qin You, Qilong Wu, Yicong Li et al.
Generalizing Reasoning Problems to Longer Lengths
Changnan Xiao, Bing Liu
Generalizing Weisfeiler-Lehman Kernels to Subgraphs
Dongkwan Kim, Alice Oh
General Scene Adaptation for Vision-and-Language Navigation
Haodong Hong, Yanyuan Qiao, Sen Wang et al.
Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
Generating Graphs via Spectral Diffusion
GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi et al.
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang, Michael Backes, Xiao Zhang
Generating Likely Counterfactuals Using Sum-Product Networks
Jiří Němeček, Tomáš Pevný, Jakub Marecek
Generating Physical Dynamics under Priors
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Jimeng Sun, Shubhendu Trivedi, Zhen Lin
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 et al.
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia et al.
Generative Adversarial Ranking Nets
Yinghua Yao, Yuangang Pan, Jing Li et al.
Generative Classifiers Avoid Shortcut Solutions
Alexander Li, Ananya Kumar, Deepak Pathak
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo, Minsu Kim, Tony Shen et al.
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless et al.
Generative Monoculture in Large Language Models
Fan Wu, Emily Black, Varun Chandrasekaran
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin SU, Liang Wang et al.
Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal et al.
Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim et al.
GenEx: Generating an Explorable World
TaiMing Lu, Tianmin Shu, Alan Yuille et al.
GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling
Jixun Yao, Hexin Liu, CHEN CHEN et al.
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
Kalliopi Basioti, Pritish Sahu, Qingze Liu et al.
GenXD: Generating Any 3D and 4D Scenes
Yuyang Zhao, Chung-Ching Lin, Kevin Lin et al.
GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
Si Chen, Richong Zhang, Xu Zhang
GeoLoRA: Geometric integration for parameter efficient fine-tuning
Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti et al.
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture
Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
Yuwei Luo, Mohsen Bayati
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker et al.
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation
Slava Elizarov, Ciara Rowles, Simon Donné
Geometry of Lightning Self-Attention: Identifiability and Dimension
Nathan Henry, Giovanni Luca Marchetti, Kathlén Kohn
Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
Lingjie Yi, Michael Yao, Weimin Lyu et al.
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
Saket Tiwari, Omer Gottesman, George D Konidaris
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
Renqiu Xia, mingsheng li, Hancheng Ye et al.
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Ziwei Yang, Zheng Chen, XIN LIU et al.