Papers
Trusted Multi-view Learning for Long-tailed Classification
Chuanqing Tang, Yifei Shi, Guanghao Lin et al.
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices
Cheng Tang, Guochong Sui, Wenqi Lou et al.
DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew
Zhou Tan, De Li, Yirui Huang et al.
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
Zexi Tan, Xiaopeng Luo, Yunlin Liu et al.
Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks
Peng Tan, Feifan Yang, Zhi-Hao Tan et al.
E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering
Jiayao Tan, Tianle Liu, Fuyuan Hu et al.
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang et al.
ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory
Cassandra Hui-Ming Tan, Budhitama Subagdja, Ah-Hwee Tan
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi et al.
Tractable Sharpness-Aware Learning of Probabilistic Circuits
Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M P et al.
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis
Xin Sun, Heng Zhou, Yuhao Wu et al.
Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution
Qi Sun, Zhen Cao, Kaige Geng et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
Jun Sun, Xinxin Zhang, Simin Hong et al.
Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
Jiangfeng Sun, SiHao He, Zhonghong Ou et al.
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
Chuxiong Sun, Dunqi Yao, Rui Wang et al.
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
Chuxiong Sun, Peng He, Qirui Ji et al.
DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance
Chengwei Sun, Jiwei Wei, Shiyuan He et al.
Complex Instruction Following with Diverse Style Policies in Football Games
Chenglu Sun, Shuo Shen, Haonan Hu et al.
Counterfactual Fairness with Imperfect Causal Graphs
Cong Su, Qiaoyu Tan, Carlotta Domeniconi et al.
Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels
Chao Su, Yanan Li, Xu Wang et al.
Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
Paul Strang, Zacharie Alès, Côme Bissuel et al.
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
Roland Stolz, Michael Eichelbeck, Matthias Althoff
Learning from Reasoning Failures via Synthetic Data Generation
Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu et al.
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
Julian Spravil, Sebastian Houben, Sven Behnke