Summary of Scaling Laws For Precision, by Tanishq Kumar et al.
Scaling Laws for Precisionby Tanishq Kumar, Zachary Ankner, Benjamin F. Spector, Blake Bordelon, Niklas Muennighoff,…
Summary of Medical Adaptation Of Large Language and Vision-language Models: Are We Making Progress?, by Daniel P. Jeong et al.
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?by Daniel P. Jeong,…
Summary of Two-stage Pretraining For Molecular Property Prediction in the Wild, by Kevin Tirta Wijaya et al.
Two-Stage Pretraining for Molecular Property Prediction in the Wildby Kevin Tirta Wijaya, Minghao Guo, Michael…
Summary of Specialized Foundation Models Struggle to Beat Supervised Baselines, by Zongzhe Xu et al.
Specialized Foundation Models Struggle to Beat Supervised Baselinesby Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander…
Summary of A Theoretical Characterization Of Optimal Data Augmentations in Self-supervised Learning, by Shlomo Libo Feigin et al.
A Theoretical Characterization of Optimal Data Augmentations in Self-Supervised Learningby Shlomo Libo Feigin, Maximilian Fleissner,…
Summary of Taxabind: a Unified Embedding Space For Ecological Applications, by Srikumar Sastry et al.
TaxaBind: A Unified Embedding Space for Ecological Applicationsby Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel…
Summary of Preventing Dimensional Collapse in Self-supervised Learning Via Orthogonality Regularization, by Junlin He et al.
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularizationby Junlin He, Jinxiao Du, Wei MaFirst…
Summary of Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-based Motor Learning, by Federico Nardi et al.
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learningby Federico Nardi, Jinpei Han,…
Summary of Sequential Order-robust Mamba For Time Series Forecasting, by Seunghan Lee et al.
Sequential Order-Robust Mamba for Time Series Forecastingby Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung ParkFirst…
Summary of Why Fine-grained Labels in Pretraining Benefit Generalization?, by Guan Zhe Hong et al.
Why Fine-grained Labels in Pretraining Benefit Generalization?by Guan Zhe Hong, Yin Cui, Ariel Fuxman, Stanley…