Summary of Approaching Deep Learning Through the Spectral Dynamics Of Weights, by David Yunis et al.
Approaching Deep Learning through the Spectral Dynamics of Weightsby David Yunis, Kumar Kshitij Patel, Samuel…
Approaching Deep Learning through the Spectral Dynamics of Weightsby David Yunis, Kumar Kshitij Patel, Samuel…
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Propernessby Viacheslav Komisarenko, Meelis KullFirst submitted…
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyondby Minghao Liu, Zonglin Di, Jiaheng…
Leveraging Superfluous Information in Contrastive Representation Learningby Xuechu YuFirst submitted to arxiv on: 19 Aug…
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Modelsby Anke Tang, Li…
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarizationby Erik B.…
Narrowing the Focus: Learned Optimizers for Pretrained Modelsby Gus Kristiansen, Mark Sandler, Andrey Zhmoginov, Nolan…
Learning to Explore for Stochastic Gradient MCMCby SeungHyun Kim, Seohyeon Jung, Seonghyeon Kim, Juho LeeFirst…
LEVIS: Large Exact Verifiable Input Spaces for Neural Networksby Mohamad Fares El Hajj Chehade, Brian…
Activation Space Selectable Kolmogorov-Arnold Networksby Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Zheng Lu, Linlin ShenFirst…