Summary of Fine-tuning Pre-trained Language Models For Robust Causal Representation Learning, by Jialin Yu et al.
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learningby Jialin Yu, Yuxiang Zhou, Yulan He,…
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learningby Jialin Yu, Yuxiang Zhou, Yulan He,…
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Controlby Jinzhu Luo, Dingyang Chen, Qi…
Time Series Viewmakers for Robust Disruption Predictionby Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore…
Graph Masked Autoencoder for Spatio-Temporal Graph Learningby Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi YinFirst…
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Healthby Abdullah Mamun,…
Unsupervised Data Validation Methods for Efficient Model Trainingby Yurii PanivFirst submitted to arxiv on: 10…
Minority-Focused Text-to-Image Generation via Prompt Optimizationby Soobin Um, Jong Chul YeFirst submitted to arxiv on:…
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcareby Nan Fang, Guiliang Liu,…
Zero-Shot Generalization of Vision-Based RL Without Data Augmentationby Sumeet Batra, Gaurav S. SukhatmeFirst submitted to…
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aidby Hemank Lamba, Anton Abilov,…