Poster Papers
24,624 papers found • Page 157 of 493
Conference
Learning to Help in Multi-Class Settings
Yu Wu, Yansong Li, Zeyu Dong et al.
Learning to Highlight Audio by Watching Movies
Chao Huang, Ruohan Gao, J. M. F. Tsang et al.
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
Junyan Liu, ARNAB MAITI, Artin Tajdini et al.
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu, Khoi Nguyen, Preeti Mukherjee et al.
Learning to Insert for Constructive Neural Vehicle Routing Solver
Fu Luo, Xi Lin, Mengyuan Zhong et al.
Learning to Instruct for Visual Instruction Tuning
Zhihan Zhou, Feng Hong, JIAAN LUO et al.
Learning to Integrate Diffusion ODEs by Averaging the Derivatives
Wenze Liu, Xiangyu Yue
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
Tian Jin, Ellie Cheng, Zachary Ankner et al.
Learning to Match Unpaired Data with Minimum Entropy Coupling
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
Rui Wang, Shaocheng Jin, Ziheng Chen et al.
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
Jin Zhang, Flood Sung, Zhilin Yang et al.
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
Tianyuan Jia, Ziyu Li, Qing Li et al.
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad et al.
Learning to price with resource constraints: from full information to machine-learned prices
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
Learning to Quantize for Training Vector-Quantized Networks
Peijia Qin, Jianguo Zhang
Learning to Rank for In-Context Example Retrieval
Yuwen Ji, Luodan Zhang, Ambyer han et al.
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu et al.
Learning to Route LLMs with Confidence Tokens
Yu-Neng Chuang, Prathusha Sarma, Parikshit Gopalan et al.
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
Marzieh Ajirak, Oded Bein, Ellen Bowen et al.
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park et al.
Learning to Search from Demonstration Sequences
Dixant Mittal, Liwei Kang, Wee Sun Lee
Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry
Matan Kichler, Shai Bagon, Mark Sheinin
Learning to See in the Extremely Dark
Hai Jiang, Binhao Guan, Zhen Liu et al.
Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation
Sijia Zhang, Shuli Zeng, Shaoang Li et al.
Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.
Learning to Solve Differential Equation Constrained Optimization Problems
Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker et al.
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao et al.
Learning to Steer: Input-dependent Steering for Multimodal LLMs
Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor et al.
Learning to Steer Learners in Games
Yizhou Zhang, Yian Ma, Eric Mazumdar
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang, Vinzenz Thoma, Zebang Shen et al.
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino, Yuchen Zhu, Mathieu Lauriere
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
Jingyao Wang, Wenwen Qiang, Zeen Song et al.
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang et al.
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
Gaurav Patel, Qiang Qiu
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
Chenrui Wang, Junyi Shu, Billy Chiu et al.
Learning to Zoom with Anatomical Relations for Medical Structure Detection
Bin Pu, Liwen Wang, Xingbo Dong et al.
Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions
Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li et al.
Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels
Daning Huang, Hanyang He, John Harlim et al.
Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
Hao Luo, Zongqing Lu
Learning View-invariant World Models for Visual Robotic Manipulation
Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.
Learning Vision and Language Concepts for Controllable Image Generation
Shaoan Xie, Lingjing Kong, Yujia Zheng et al.
Learning Visual Composition through Improved Semantic Guidance
Austin Stone, Hagen Soltau, Robert Geirhos et al.
Learning Visual Generative Priors without Text
Shuailei Ma, Kecheng Zheng, Ying Wei et al.
Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval
Ziwei Wang, Sameera Ramasinghe, Chenchen Xu et al.
Learning Visual Proxy for Compositional Zero-Shot Learning
Shiyu Zhang, Cheng Yan, Yang Liu et al.
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL
Songjun Tu, Jiahao Lin, Qichao Zhang et al.
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai, Nika Haghtalab, Eric Zhao
Learning with Noisy Triplet Correspondence for Composed Image Retrieval
Shuxian Li, Changhao He, XitingLiu et al.
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher
Learning without Isolation: Pathway Protection for Continual Learning
Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui et al.