Papers
Anchor-Driven Nyström for Deep Graph-Level Clustering
Jiaxin Wang, Wenxuan Tu, Lingren Wang et al.
Variation-Bounded Loss for Noise-Tolerant Learning
Jialiang Wang, Xiong Zhou, Xianming Liu et al.
AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
Jiacheng Wang, Tianle Chen, Pengyu Cheng et al.
Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models
Hualei Wang, Yiming Li, Shuo Ma et al.
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
Hua Wang, Jinghao Lu, Fan Zhang
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
Hongwei Wang, Yangru Huang, Guangyao Chen et al.
MMIFEvol: Towards Evolutionary Multimodal Instruction Following
Haoyu Wang, Sihang Jiang, Xiangru Zhu et al.
Integral-based Knockoffs Inference for Partially Linear Models
Hao Wang, Biqin Song, Rushi Lan et al.
X-SAM: From Segment Anything to Any Segmentation
Hao Wang, Limeng Qiao, Zequn Jie et al.
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
Guanjun Wang, Jianhao Zhang, Jiaming Ma et al.
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
Fan Wang, Zhongyi Han, Yongshun Gong et al.
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
Dawei Wang, Chengming Zhou, Di Zhao et al.
Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series
Congyu Wang, Mingjing Du, Xiang Jiang
CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices
Chengcheng Wang, Haowen He, Liang Zhao et al.
Reward Model Evaluation via Automatically-Ranked Policy Alignment
Aoran Wang, Lei Ou, Yang Yu et al.
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
Weilin Wan, Fan Yi, Weizhong Zhang et al.
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
Guoan Wan, Tianyu Chen, Fangzheng Feng et al.
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
Guancheng Wan, Mo Zhou, Ziyi Wang et al.
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Nassim Walha, Sebastian G. Gruber, Thomas Decker et al.
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde et al.
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
Sanyam Vyas, Alberto Caron, Chris Hicks et al.
A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
Akshay Vyas, Angelo Pimienta, Nicholas Ruozzi
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
Evgeniia Vu, Andrei Boiarov, Dmitry Vetrov
Hybrid Restricted Master Problem for Boolean Matrix Factorisation
Ellen Visscher, Michael Forbes, Christopher Yau