All Papers

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution

Zhiheng Li, Muheng Li, Jixuan Fan et al.

Learning dynamic representations of the functional connectome in neurobiological networks

Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley et al.

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis

Zicheng Zhang, RUOBING ZHENG, Bonan Li et al.

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck

Shifei Ding, Wei Du, Ling Ding et al.

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Yuanhao Pu, Xiaolong Chen, Xu Huang et al.

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

Rui Sun, Zhi Zheng, Zhenkun Wang

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

yaxuan zhu, Jianwen Xie, Yingnian Wu et al.

Learning Energy Decompositions for Partial Inference in GFlowNets

Hyosoon Jang, Minsu Kim, Sungsoo Ahn

Learning Equi-angular Representations for Online Continual Learning

Minhyuk Seo, Hyunseo Koh, Wonje Jeung et al.

Learning Equilibrium Transformation for Gamut Expansion and Color Restoration

JUN XIAO, Changjian Shui, Zhi-Song Liu et al.

Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence

Sascha Xu, Nils Philipp Walter, Janis Kalofolias et al.

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence

Hongyuan Wang, Lizhi Wang, Jiang Xu et al.

Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images

Junxing Hu, Hongwen Zhang, Zerui Chen et al.

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho et al.

Learning for Transductive Threshold Calibration in Open-World Recognition

Qin ZHANG, DONGSHENG An, Tianjun Xiao et al.

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions

Adel Javanmard, Lin Chen, Vahab Mirrokni et al.

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning

Yantian Zha, Lin Guan, Subbarao Kambhampati

Learning from Failure: Improving Meeting Summarization without Good Samples

Ke Wang, Xiutian Zhao, Wei Peng

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang et al.

Learning from Integral Losses in Physics Informed Neural Networks

Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition

Yuchen Zhou, Linkai Liu, Chao Gou

Learning from One Continuous Video Stream

Joao Carreira, Michael King, Viorica Patraucean et al.

Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting

Yanhong Li, Jack Xu, David Anastasiu

Learning From Simplicial Data Based on Random Walks and 1D Convolutions

Florian Frantzen, Michael Schaub

Learning from Sparse Offline Datasets via Conservative Density Estimation

Zhepeng Cen, Zuxin Liu, Zitong Wang et al.

Learning from Streaming Data when Users Choose

Jinyan Su, Sarah Dean

Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs

Jordan Dotzel, Yuzong Chen, Bahaa Kotb et al.

Learning from Synthetic Human Group Activities

Che-Jui Chang, Danrui Li, Deep Patel et al.

Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation

Chang Liu, Giulia Rizzoli, Pietro Zanuttigh et al.

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Margot Herin, Patrice Perny, Nataliya Sokolovska

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries

1207 Qi Bi, Jingjun Yi, Hao Zheng et al.

Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance

Qi Bi, Shaodi You, Theo Gevers

Learning Graph Representation via Graph Entropy Maximization

Ziheng Sun, Xudong Wang, Chris Ding et al.

Learning Grounded Action Abstractions from Language

Lio Wong, Jiayuan Mao, Pratyusha Sharma et al.

Learning Group Activity Features Through Person Attribute Prediction

Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita

Learning Hierarchical Image Segmentation For Recognition and By Recognition

Tsung-Wei Ke, Sangwoo Mo, Stella Yu

Learning Hierarchical Polynomials with Three-Layer Neural Networks

Zihao Wang, Eshaan Nichani, Jason Lee

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Yubin Wang, Xinyang Jiang, De Cheng et al.

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics

Christian Gumbsch, Noor Sajid, Georg Martius et al.

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Chuanhao Sun, Zhihang Yuan, Kai Xu et al.

Learning High-Order Relationships of Brain Regions

Weikang Qiu, Huangrui Chu, Selena Wang et al.

Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection

Zhili Chen, Shuangjie Xu, Maosheng Ye et al.

Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Learning Image Demoireing from Unpaired Real Data

Yunshan Zhong, Zhou Yuyao, Yuxin Zhang et al.

Learning Implicit Representation for Reconstructing Articulated Objects

Hao Zhang, Fang Li, Samyak Rawlekar et al.

Learning Inclusion Matching for Animation Paint Bucket Colorization

Yuekun Dai, Shangchen Zhou, Blake Li et al.

Learning in Deep Factor Graphs with Gaussian Belief Propagation

Seth Nabarro, Mark van der Wilk, Andrew Davison