Summary of Multi-modal Vision Pre-training For Medical Image Analysis, by Shaohao Rui et al.
Multi-modal Vision Pre-training for Medical Image Analysisby Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang,…
Summary of Self-data Distillation For Recovering Quality in Pruned Large Language Models, by Vithursan Thangarasa et al.
Self-Data Distillation for Recovering Quality in Pruned Large Language Modelsby Vithursan Thangarasa, Ganesh Venkatesh, Mike…
Summary of Distilling Invariant Representations with Dual Augmentation, by Nikolaos Giakoumoglou et al.
Distilling Invariant Representations with Dual Augmentationby Nikolaos Giakoumoglou, Tania StathakiFirst submitted to arxiv on: 12…
Summary of Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both, by Abhijnan Nath et al.
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Bothby…
Summary of What Is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias, by Aida Mohammadshahi et al.
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Biasby Aida Mohammadshahi, Yani…
Summary of Evolutionary Contrastive Distillation For Language Model Alignment, by Julian Katz-samuels et al.
Evolutionary Contrastive Distillation for Language Model Alignmentby Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam,…
Summary of Joint Fine-tuning and Conversion Of Pretrained Speech and Language Models Towards Linear Complexity, by Mutian He et al.
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexityby Mutian He,…
Summary of Degree Distribution Based Spiking Graph Networks For Domain Adaptation, by Yingxu Wang et al.
Degree Distribution based Spiking Graph Networks for Domain Adaptationby Yingxu Wang, Mengzhu Wang, Siwei Liu,…
Summary of Convex Distillation: Efficient Compression Of Deep Networks Via Convex Optimization, by Prateek Varshney and Mert Pilanci
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimizationby Prateek Varshney, Mert PilanciFirst submitted…
Summary of Towards Self-improvement Of Llms Via Mcts: Leveraging Stepwise Knowledge with Curriculum Preference Learning, by Xiyao Wang et al.
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learningby Xiyao Wang,…