Summary of Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains, by Hafiz Tiomoko Ali et al.
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domainsby Hafiz…
Summary of Emotion Classification in Low and Moderate Resource Languages, by Shabnam Tafreshi et al.
Emotion Classification in Low and Moderate Resource Languagesby Shabnam Tafreshi, Shubham Vatsal, Mona DiabFirst submitted…
Summary of Diffusion-based Neural Network Weights Generation, by Bedionita Soro et al.
Diffusion-Based Neural Network Weights Generationby Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong,…
Summary of Intensive Care As One Big Sequence Modeling Problem, by Vadim Liventsev et al.
Intensive Care as One Big Sequence Modeling Problemby Vadim Liventsev, Tobias FritzFirst submitted to arxiv…
Summary of Adversarial-robust Transfer Learning For Medical Imaging Via Domain Assimilation, by Xiaohui Chen and Tie Luo
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilationby Xiaohui Chen, Tie LuoFirst submitted to…
Summary of Pemt: Multi-task Correlation Guided Mixture-of-experts Enables Parameter-efficient Transfer Learning, by Zhisheng Lin et al.
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learningby Zhisheng Lin, Han Fu, Chenghao Liu,…
Summary of Smoothness Adaptive Hypothesis Transfer Learning, by Haotian Lin et al.
Smoothness Adaptive Hypothesis Transfer Learningby Haotian Lin, Matthew ReimherrFirst submitted to arxiv on: 22 Feb…
Summary of Clce: An Approach to Refining Cross-entropy and Contrastive Learning For Optimized Learning Fusion, by Zijun Long and George Killick and Lipeng Zhuang and Gerardo Aragon-camarasa and Zaiqiao Meng and Richard Mccreadie
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusionby Zijun Long,…
Summary of Simple and Effective Transfer Learning For Neuro-symbolic Integration, by Alessandro Daniele et al.
Simple and Effective Transfer Learning for Neuro-Symbolic Integrationby Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano…
Summary of Arl2: Aligning Retrievers For Black-box Large Language Models Via Self-guided Adaptive Relevance Labeling, by Lingxi Zhang et al.
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labelingby Lingxi Zhang,…