Summary of Culturellm: Incorporating Cultural Differences Into Large Language Models, by Cheng Li et al.
CultureLLM: Incorporating Cultural Differences into Large Language Modelsby Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana…
Summary of Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition, by Enrico Randellini and Leonardo Rigutini and Claudio Sacca’
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognitionby Enrico Randellini, Leonardo Rigutini,…
Summary of Werank: Towards Rank Degradation Prevention For Self-supervised Learning Using Weight Regularization, by Ali Saheb Pasand et al.
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularizationby Ali Saheb Pasand, Reza…
Summary of One Train For Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning, by Haozhen Zhang et al.
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learningby Haozhen…
Summary of For Better or For Worse? Learning Minimum Variance Features with Label Augmentation, by Muthu Chidambaram and Rong Ge
For Better or For Worse? Learning Minimum Variance Features With Label Augmentationby Muthu Chidambaram, Rong…
Summary of Understanding Test-time Augmentation, by Masanari Kimura
Understanding Test-Time Augmentationby Masanari KimuraFirst submitted to arxiv on: 10 Feb 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Pushing Boundaries: Mixup’s Influence on Neural Collapse, by Quinn Fisher et al.
Pushing Boundaries: Mixup’s Influence on Neural Collapseby Quinn Fisher, Haoming Meng, Vardan PapyanFirst submitted to…
Summary of Pac Learnability Under Explanation-preserving Graph Perturbations, by Xu Zheng et al.
PAC Learnability under Explanation-Preserving Graph Perturbationsby Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian…
Summary of Codeit: Self-improving Language Models with Prioritized Hindsight Replay, by Natasha Butt et al.
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replayby Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado…
Summary of De-amplifying Bias From Differential Privacy in Language Model Fine-tuning, by Sanjari Srivastava et al.
De-amplifying Bias from Differential Privacy in Language Model Fine-tuningby Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang,…