Summary of Clustering-based Validation Splits For Model Selection Under Domain Shift, by Andrea Napoli et al.
Clustering-Based Validation Splits for Model Selection under Domain Shiftby Andrea Napoli, Paul WhiteFirst submitted to…
Clustering-Based Validation Splits for Model Selection under Domain Shiftby Andrea Napoli, Paul WhiteFirst submitted to…
OMPO: A Unified Framework for RL under Policy and Dynamics Shiftsby Yu Luo, Tianying Ji,…
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosisby Ziyan Wang, Mohamed…
Supervised Batch Normalizationby Bilal Faye, Mustapha Lebbah, Hanane AzzagFirst submitted to arxiv on: 27 May…
Automatic Domain Adaptation by Transformers in In-Context Learningby Ryuichiro Hataya, Kota Matsui, Masaaki ImaizumiFirst submitted…
CEEBERT: Cross-Domain Inference in Early Exit BERTby Divya Jyoti Bajpai, Manjesh Kumar HanawalFirst submitted to…
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translationby Kamil Guttmann, Mikołaj Pokrywka,…
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchorsby Chun-Yin Huang, Kartik…
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parserby Jon…
Cross-Domain Continual Learning via CLAMPby Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Yapp…