Papers
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.
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Fanpu Cao, Yaofo Chen, Zeng You et al.
Spiking Heterogeneous Graph Attention Networks
Buqing Cao, Qian Peng, Xiang Xie et al.
Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering
Zhongteng Cai, Yaxuan Wang, Yang Liu et al.
HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
Zhaolin Cai, Fan Li, Ziwei Zheng et al.
Rethinking Explanation Evaluation Under the Retraining Scheme
Yi Cai, Thibaud Ardoin, Mayank Gulati et al.
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
Tingyi Cai, Yunliang Jiang, Ming Li et al.
Constrained Best Arm Identification with Tests for Feasibility
Ting Cai, Kirthevasan Kandasamy
Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference
Cory Butz, Alejandro Santoscoy-Rivero, Camilla Lewis
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran