Paper Papers

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.

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li, Fan Lyu, Fanhua Shang et al.

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains

Yimu Wang, Yihan Wu, Hongyang Zhang

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

Xinyu Zhang, Meng Kang, Shuai Lü

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.

Low-Latency Space-Time Supersampling for Real-Time Rendering

Ruian He, Shili Zhou, Yuqi Sun et al.

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Chenyang Wang, Junjun Jiang, Kui Jiang et al.

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation

Yuchen Su, Zhineng Chen, Zhiwen Shao et al.

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

LSTKC: Long Short

Term Knowledge Consolidation for Lifelong Person Re-identification - Kunlun Xu, Xu Zou, Jiahuan Zhou

Lyapunov-Stable Deep Equilibrium Models

Haoyu Chu, Shikui Wei, Ting Liu et al.

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis

Ning Zhang, Hiuyi Cheng, Jiayu Chen et al.

M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning

Jinhao Lin, Ziheng Wu, Weifeng Lin et al.

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang et al.

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking

Jiaming Liu, Yue Wu, Maoguo Gong et al.

Machine-Created Universal Language for Cross-Lingual Transfer

Yaobo Liang, Quanzhi Zhu, Junhe Zhao et al.

Machine Learning

Powered Combinatorial Clock Auction - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss et al.

MagiCapture: High-Resolution Multi-Concept Portrait Customization

9256 Junha Hyung, Jaeyo Shin, Jaegul Choo

Make Lossy Compression Meaningful for Low-Light Images

Shilv Cai, Liqun Chen, Sheng Zhong et al.

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior

Youngjae Cho, HeeSun Bae, Seungjae Shin et al.

Make RepVGG Greater Again: A Quantization-Aware Approach

Xuesong Nie, Yunfeng Yan, Siyuan Li et al.

MA-Net: Rethinking Neural Unit in the Light of Astrocytes

Mengqiao Han, Liyuan Pan, Xiabi Liu

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

Haochun Wang, Sendong Zhao, Chi Liu et al.

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang et al.

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Authors: Minh-Quan Le, Tam Nguyen, Trung-Nghia Le et al.

Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models

Hieu Man, Franck Dernoncourt, Thien Huu Nguyen