Papers
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
Gaole Dai, Huatao Xu, Yifan Yang et al.
ShaLa: Multimodal Shared Latent Generative Modelling
Jiali Cui, Yan-Ying Chen, Yanxia Zhang et al.
Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search
Beirong Cui, Qilong Feng, Junyu Huang
Causal Discovery from Interval-Based Event Sequences
Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
Shan Cong, Chao Yu, Xiangyuan Lan
Robust Watermarking on Gradient Boosting Decision Trees
Jun Woo Chung, Yingjie Lao, Weijie Zhao
Towards Robust Edge Model Adaptation via Elastic Architecture Search
Xianhang Chu, Xu Yang, Kun Wei et al.
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
Koustav Chowdhury, Bibhabasu Mandal, Sourav De et al.
T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion
Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib
LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers
Yu-Hong Chou, Rui Fang, Hsi-Wen Chen et al.
Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment
You Rim Choi, Subeom Park, Seojun Heo et al.
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Yoonhyuk Choi, Jiho Choi, Taewook Ko et al.
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
Jeongwhan Choi, Seungjun Park, Sumin Park et al.
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
Changxi Chi, Yufei Huang, Jun Xia et al.
Best Arm Identification with Biased Contexts
James Cheshire, Stephan Clémençon
Score-Based Model for Low-Rank Tensor Recovery
Zhengyun Cheng, Changhao Wang, Guanwen Zhang et al.
DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression
Pengyu Cheng, Jiacheng Wang, Tianle Chen et al.
Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions
Kangke Cheng, Shihong Song, Guanlin Mo et al.
Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching
Jiacheng Cheng, Xu Zhang, Guanghui Qiu et al.
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
Guanjie Cheng, Mengzhen Yang, Xinkui Zhao et al.
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation
Zhuangzhuang Chen, Nuo Chen, Dachong Li et al.
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
Zhiwei Chen, Yupeng Hu, Zhiheng Fu et al.