Papers
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
Jiayi Chen, Jing Li, Guiling Wang
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen, Zishuo Xun, Bocheng Zhou et al.
PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities
Jiajun Chen, Sai Cheng, Yuan Yutao et al.
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
Hongxu Chen, Ke Wei, Luo Luo
Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval
Haipeng Chen, Yu Liu, Xun Yang et al.
VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models
Guoqing Chen, Fu Zhang, Bingqian Liu et al.
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
Gongpu Chen, Soung Chang Liew, Deniz Gündüz
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
Feng Chen, Yefei He, Shaoxuan He et al.
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
Dexia Chen, Wentao Zhang, Qianjie Zhu et al.
Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency
Chunchun Chen, Xing Wei, Jiayi Yang et al.
Extendable Planning via Multiscale Diffusion
Chang Chen, Hany Hamed, Doojin Baek et al.
Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
Biao Chen, Lin Zuo, Mengmeng Jing et al.
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
Chang Che, Ziqi Wang, Pengwan Yang et al.
D3ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs
Shuochen Chang, Xiaofeng Zhang, Qingyang Liu et al.
Enhancing Medical Large Vision-Language Models via Alignment Distillation
Aofei Chang, Ting Wang, Fenglong Ma
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
Hohei Chan, Xinzhi Zhang, Antao Xiang et al.
Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications
Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das et al.
Covariance Scattering Transforms
Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri et al.
LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
Ernesto Casablanca, Oliver Schön, Paolo Zuliani et al.
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima
PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning
Qianyue Cao, Zongwei Zhu, Zirui Lian et al.
Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization
Linfeng Cao, Ming Shi, Ness B. Shroff
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
Hongye Cao, Tianpei Yang, Fan Feng et al.