Papers
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A et al.
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
Joao Mattos, Debolina Halder Lina, Arlei Silva
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
Idriss Malek, Aya Laajil, Abhijith Sharma et al.
Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Yinchao Ma, Qiang Zhou, Zhibin Wang et al.
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
Xiaoxu Ma, Dong Li, Minglai Shao et al.
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting
Xiang Ma, Taihua Chen, Pengcheng Wang et al.
Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment
Xiang Ma, Lexin Fang, Litian Xu et al.
C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yunbo Zhao, Yu Kang
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Qianli Ma, Yaowei Zheng, Zhelun Shi et al.
Discovering Mixture Skills for Unsupervised Reinforcement Learning
Nelson Ma, Junyu Xuan, Guangquan Zhang et al.
MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs
Junpeng Ma, Qizhe Zhang, Ming Lu et al.
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
Jiaji Ma, Puja Trivedi, Danai Koutra
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
Fengji Ma, Hei Victor Cheng, Chenxing Li et al.
Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation
Xiaosen Lyu, Jiayu Xiong, Yuren Chen et al.
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
Sisuo Lyu, Siru Zhong, Weilin Ruan et al.
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao et al.
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification
Li Lv, Qian Guo, Li Zhang et al.
LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit
Chengtao Lv, Bilang Zhang, Yang Yong et al.
Quantum Algorithms for Spectral Sums
Alessandro Luongo, Changpeng Shao
Supervised Dynamic Dimension Reduction with Deep Neural Network
Zhanye Luo, Yuefeng Han, Xiufan Yu
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension
Yongdong Luo, Wang Chen, Weizhong Huang et al.
ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning
Wen Luo, Peng Chen, Xiaotao Huang et al.
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
Jiayi Luo, Qingyun Sun, Lingjuan Lyu et al.
Attention Retention for Continual Learning with Vision Transformers
Yue Lu, Xiangyu Zhou, Shizhou Zhang et al.
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng et al.