Papers
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
Jie-Jing Shao, Hong-Jie You, Guohao Cai et al.
What Can We Learn From MIMO Graph Convolutions?
Andreas Roth, Thomas Liebig
Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent
Rudy Raymond, Zichang He
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
Zhijie Rao, Jingcai Guo, Miaoge Li et al.
MsRAG: Knowledge Augumented Image Captioning with Object-level Multi-source RAG
Yuming Qiao, Yuechen Wang, Dan Meng et al.
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi, Sijin Zhou, Lei Meng et al.
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm
Jiangjun Peng, Yisi Luo, Xiangyong Cao et al.
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm
Jiangjun Peng, Hailin Wang, Xiangyong Cao et al.
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting
Kijeong Park, Sungchul Hong, Jong-June Jeon
Stability and Generalization for Stochastic (Compositional) Optimizations
Xiaokang Pan, Jin Liu, Hulin Kuang et al.
LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting
Qihong Pan, Haofei Tan, Guojiang Shen et al.
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
Huazi Pan, Yanjun Zhang, Leo Yu Zhang et al.
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
Chaofan Pan, Lingfei Ren, Yihui Feng et al.
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation
Harsh Pal, Sarthak Malik, Rajat Patel et al.
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal et al.
Robult: Leveraging Redundancy and Modality-Specific Features for Robust Multimodal Learning
Duy A. Nguyen, Abhi Kamboj, Minh N. Do
A Case for Validation Buffer in Pessimistic Actor-Critic
Michał Nauman, Mateusz Ostaszewski, Marek Cygan
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning
Ni Mu, Yao Luan, Yiqin Yang et al.
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
Hanyang Meng, Jielong Yang, Li Peng
NeSyA: Neurosymbolic Automata
Nikolaos Manginas, George Paliouras, Luc De Raedt
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
Mikołaj Małkiński, Jacek Mańdziuk
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
Mikołaj Małkiński, Jacek Mańdziuk
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu et al.
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery
Lin Ma, Liang Hu, Qiang Huang et al.