Papers
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing
Zhihua Cui, Shiwu Sun, Qian Guo et al.
KIPPO: Koopman-Inspired Proximal Policy Optimization
Andrei Cozma, Landon Harris, Hairong Qi
Interpretable DNFs
Martin C. Cooper, Imane Bousdira, Clément Carbonnel
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL
Jacques Cloete, Nikolaus Vertovec, Alessandro Abate
Language-Based Bayesian Optimization Research Assistant (BORA)
Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev et al.
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation
Jean Seong Bjorn Choe, Jong-kook Kim
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
Changxi Chi, Jun Xia, Jingbo Zhou et al.
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu et al.
Automated Superscalar Processor Design by Learning Data Dependencies
Shuyao Cheng, Rui Zhang, Wenkai He et al.
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
Mingyue Cheng, Jintao Zhang, Zhiding Liu et al.
Multi-Objective Neural Bandits with Random Scalarization
Ji Cheng, Bo Xue, Chengyu Lu et al.
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models
Zhuo Chen, Jiahui Zhang, Sihan Wang et al.
Pseudo-Label Reconstruction for Partial Multi-Label Learning
Yu Chen, Fang Li, Na Han et al.
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
Xinyi Chen, Chenxiang Ma, Yujie Wu et al.
Multimodal Inference with Incremental Tabular Attributes
Xinda Chen, Zhen Xing, Zixian Zhang et al.
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting
Weiqi Chen, Zhaoyang Zhu, Yifan Zhang et al.
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning
Weihang Chen, Cheng Yang, Jie Ren et al.
Pixel-wise Divide and Conquer for Federated Vessel Segmentation
Tian Chen, Wenke Huang, Zhihao Wang et al.
Disconfounding Fake News Video Explanation with Causal Inference
Lizhi Chen, Zhong Qian, Peifeng Li et al.
Variational Offline Multi-agent Skill Discovery
Jiayu Chen, Tian Lan, Vaneet Aggarwal
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction
Jian Chen, Xiaoru Dong, Wei Wang et al.
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
Haiyang Chen, Xiaolong Xu, Xiang Zhu et al.
Grounding Methods for Neural-Symbolic AI
Rodrigo Castellano Ontiveros, Francesco Giannini, Marco Gori et al.
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis
Chang Cao, Han Li, Yulong Wang et al.
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Ruichu Cai, Junjie Wan, Weilin Chen et al.