Summary of Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws, by Yiding Jiang et al.
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Lawsby Yiding Jiang, Allan Zhou, Zhili Feng,…
Summary of Offline Model-based Optimization by Learning to Rank, By Rong-xi Tan et al.
Offline Model-Based Optimization by Learning to Rankby Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang,…
Summary of On-the-fly Modulation For Balanced Multimodal Learning, by Yake Wei et al.
On-the-fly Modulation for Balanced Multimodal Learningby Yake Wei, Di Hu, Henghui Du, Ji-Rong WenFirst submitted…
Summary of Evolutionary Retrofitting, by Mathurin Videau (tau) et al.
Evolutionary Retrofittingby Mathurin Videau, Mariia Zameshina, Alessandro Leite, Laurent Najman, Marc Schoenauer, Olivier TeytaudFirst submitted…
Summary of Beyond Linear Approximations: a Novel Pruning Approach For Attention Matrix, by Yingyu Liang et al.
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrixby Yingyu Liang, Jiangxuan Long, Zhenmei…
Summary of Subspace Optimization For Large Language Models with Convergence Guarantees, by Yutong He et al.
Subspace Optimization for Large Language Models with Convergence Guaranteesby Yutong He, Pengrui Li, Yipeng Hu,…
Summary of Tsds: Data Selection For Task-specific Model Finetuning, by Zifan Liu et al.
TSDS: Data Selection for Task-Specific Model Finetuningby Zifan Liu, Amin Karbasi, Theodoros RekatsinasFirst submitted to…
Summary of Towards Differentiable Multilevel Optimization: a Gradient-based Approach, by Yuntian Gu and Xuzheng Chen
Towards Differentiable Multilevel Optimization: A Gradient-Based Approachby Yuntian Gu, Xuzheng ChenFirst submitted to arxiv on:…
Summary of A Bilevel Optimization Framework For Imbalanced Data Classification, by Karen Medlin et al.
A Bilevel Optimization Framework for Imbalanced Data Classificationby Karen Medlin, Sven Leyffer, Krishnan RaghavanFirst submitted…
Summary of Data-aware Training Quality Monitoring and Certification For Reliable Deep Learning, by Farhang Yeganegi et al.
Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learningby Farhang Yeganegi, Arian Eamaz, Mojtaba…