Summary of Regularization For Adversarial Robust Learning, by Jie Wang and Rui Gao and Yao Xie
Regularization for Adversarial Robust Learningby Jie Wang, Rui Gao, Yao XieFirst submitted to arxiv on:…
Regularization for Adversarial Robust Learningby Jie Wang, Rui Gao, Yao XieFirst submitted to arxiv on:…
SA-GDA: Spectral Augmentation for Graph Domain Adaptationby Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao,…
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packsby Jiancheng Dong, Lei Jiang,…
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers…
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretrainingby Audrey Der,…
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsby Yushi Bai, Jiajie Zhang, Xin Lv,…
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learningby Wenbin Hu, Huihao Jing, Qi…
Class-aware and Augmentation-free Contrastive Learning from Label Proportionby Jialiang Wang, Ning Zhang, Shimin Di, Ruidong…
On a Scale-Invariant Approach to Bundle Recommendations in Candy Crush Sagaby Styliani Katsarou, Francesca Carminati,…
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let’s Take TravelPlanner as an…