Paper Papers

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation

Tianhao Huang, Xuan Pan, Xiangrui Cai et al.

Learning to Approximate Adaptive Kernel Convolution on Graphs

Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.

Learning to Learn Better Visual Prompts

Fengxiang Wang, Wanrong Huang, Shaowu Yang et al.

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

Learning to Manipulate Artistic Images

Wei Guo, Yuqi Zhang, De Ma et al.

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning

Longkang Li, Siyuan Liang, Zihao Zhu et al.

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, Dongdong Ge et al.

Learning to Prompt Knowledge Transfer for Open-World Continual Learning

Yujie Li, Xin Yang, Hao Wang et al.

Learning to Rank in Generative Retrieval

Yongqi Li, Nan Yang, Liang Wang et al.

Learning to Reweight for Generalizable Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang et al.

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming

Haotian Ling, Zhihai Wang, Jie Wang

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers

Sungmin Cha, Sungjun Cho, Dasol Hwang et al.

Learning Ultrametric Trees for Optimal Transport Regression

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Learning Visual Abstract Reasoning through Dual-Stream Networks

Kai Zhao, Chang Xu, Bailu Si

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize

Sanket Shah, Bryan Wilder, Andrew Perrault et al.

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma et al.

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval

Zhe Ma, Jianfeng Dong, Shouling Ji et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun et al.

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection

Hongzhi Gao, Zheng Chen, Zehui Chen et al.

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

Zeping Min, Jinfeng Bai, Chengfei Li

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

YongJin Yang, Taehyeon Kim, Se-Young Yun

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning

Xin Yu, Rongye Shi, Pu Feng et al.

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu et al.

LGMRec: Local and Global Graph Learning for Multimodal Recommendation

Zhiqiang Guo, Jianjun Li, Guohui Li et al.

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor

Han Liu, Siyang Zhao, Xiaotong Zhang et al.

Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation

Feng Zhou, Jianqin Yin, Peiyang Li

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Hilal AlQuabeh, William de Vazelhes, Bin Gu

Limited Query Graph Connectivity Test

Mingyu Guo, Jialiang Li, Aneta Neumann et al.

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata

Alessandro Gianola, Marco Montali, Sarah Winkler

LINGO-Space: Language-Conditioned Incremental Grounding for Space

Dohyun Kim, Nayoung Oh, Deokmin Hwang et al.

Link Prediction in Multilayer Networks via Cross-Network Embedding

Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.

LION: Implicit Vision Prompt Tuning

Haixin Wang, Jianlong Chang, Yihang Zhai et al.

LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions

Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Yue Zhang, Ming Zhang, HaiPeng Yuan et al.

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs

Yan Wang, Zhixuan Chu, Xin Ouyang et al.

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Linmei Hu, Hongyu He, Duokang Wang et al.

Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding

6627 Peijun Bao, Yong Xia, Wenhan Yang et al.

Locality Preserving Refinement for Shape Matching with Functional Maps

Yifan Xia, Yifan Lu, Yuan Gao et al.

Locally Rainbow Paths

Till Fluschnik, Leon Kellerhals, Malte Renken

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

hongcheng Guo, Jian Yang, Jiaheng Liu et al.