Poster Papers
24,624 papers found • Page 154 of 493
Conference
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
Jijia Liu, Feng Gao, Qingmin Liao et al.
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
Keqi Chen, vinkle srivastav, Didier MUTTER et al.
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li, Jinghao Xu, Peng Ying et al.
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors
Duo Zheng, shijia Huang, Yanyang Li et al.
Learning from weak labelers as constraints
Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan et al.
Learning Fused State Representations for Control from Multi-View Observations
Zeyu Wang, Yao-Hui Li, Xin Li et al.
Learning Gain Map for Inverse Tone Mapping
yinuo liao, Yuanshen Guan, Ruikang Xu et al.
Learning Gaussian DAG Models without Condition Number Bounds
Constantinos Daskalakis, Vardis Kandiros, Rui Yao
Learning Generalizable Shape Completion with SIM(3) Equivariance
Yuqing Wang, Zhaiyu Chen, Xiaoxiang Zhu
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
Neel Dey, Benjamin Billot, Hallee Wong et al.
Learning Geometric Reasoning Networks For Robot Task And Motion Planning
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
Learning Gradient Boosted Decision Trees with Algorithmic Recourse
Kentaro Kanamori, Ken Kobayashi, Takuya Takagi
Learning Graph Invariance by Harnessing Spuriosity
Tianjun Yao, Yongqiang Chen, Kai Hu et al.
Learning Graph Quantized Tokenizers
Limei Wang, Kaveh Hassani, Si Zhang et al.
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Sirui Li, Wenbin Ouyang, Yining Ma et al.
Learning Harmonized Representations for Speculative Sampling
Lefan Zhang, Xiaodan Wang, Yanhua Huang et al.
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
Ruiyi Wang, Yushuo Zheng, Zicheng Zhang et al.
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
Junxian Wu, Minheng Chen, Xinyi Ke et al.
Learning Hierarchical Line Buffer for Image Processing
Jiacheng Li, Feiran Li, Daisuke Iso
Learning Hierarchical Polynomials of Multiple Nonlinear Features
Hengyu Fu, Zihao Wang, Eshaan Nichani et al.
Learning High-Degree Parities: The Crucial Role of the Initialization
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła et al.
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
Mehul Damani, Idan Shenfeld, Andi Peng et al.
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh et al.
Learning Human-Object Interaction as Groups
Jiajun Hong, Jianan Wei, Wenguan Wang
Learning Imbalanced Data with Beneficial Label Noise
Guangzheng Hu, Feng Liu, Mingming Gong et al.
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
Canzhe Zhao, Yutian Cheng, Jing Dong et al.
Learning Implicit Features with Flow-Infused Transformations for Realistic Virtual Try-On
Delong Zhang, Qiwei Huang, Yang Sun et al.
Learning in Compact Spaces with Approximately Normalized Transformer
Jörg Franke, Urs Spiegelhalter, Marianna Nezhurina et al.
Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points
Aditya Vardhan Varre, Gizem Yüce, Nicolas Flammarion
Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision
Anqi Lu, Junchi Yan
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang et al.
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.
Learning Interactive World Model for Object-Centric Reinforcement Learning
Fan Feng, Phillip Lippe, Sara Magliacane
Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
Chenyu Zhou, Mengdan Zhang, Peixian Chen et al.
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan et al.
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
Ziqi Wang, Jiashun Liu, Ling Pan
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song, Siyu Zhao, Xingyu Zhang et al.
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Armin Kekić, Sergio Hernan Garrido Mejia, Bernhard Schölkopf
Learning Juntas under Markov Random Fields
Gautam Chandrasekaran, Adam Klivans
Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
James Cuin, Davide Carbone, O. Deniz Akyildiz
Learning Likelihood-Free Reference Priors
Nick Bishop, Daniel Jarne Ornia, Joel Dyer et al.
Learning LLM-as-a-Judge for Preference Alignment
Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.
Learning local equivariant representations for quantum operators
YinZhangHao Zhou, Zixi Gan, Shishir Pandey et al.
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen, Till Schulz, Karsten Borgwardt
Learning Mask Invariant Mutual Information for Masked Image Modeling
Tao Huang, Yanxiang Ma, Shan You et al.
Learning Mean Field Control on Sparse Graphs
Christian Fabian, Kai Cui, Heinz Koeppl
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.