Summary of Real-valued Continued Fraction Of Straight Lines, by Vijay Prakash S
Real-valued continued fraction of straight linesby Vijay Prakash SFirst submitted to arxiv on: 16 Dec…
Summary of Continual Learning Using a Kernel-based Method Over Foundation Models, by Saleh Momeni et al.
Continual Learning Using a Kernel-Based Method Over Foundation Modelsby Saleh Momeni, Sahisnu Mazumder, Bing LiuFirst…
Summary of Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses Of Batch Normalization Layers, by Zhu Liao et al.
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization…
Summary of Revisiting Weight Averaging For Model Merging, by Jiho Choi et al.
Revisiting Weight Averaging for Model Mergingby Jiho Choi, Donggyun Kim, Chanhyuk Lee, Seunghoon HongFirst submitted…
Summary of Multimodal Approaches to Fair Image Classification: An Ethical Perspective, by Javon Hickmon
Multimodal Approaches to Fair Image Classification: An Ethical Perspectiveby Javon HickmonFirst submitted to arxiv on:…
Summary of The Impact Of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification, by Ahmad Hassanpour et al.
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image…
Summary of Explicit and Implicit Graduated Optimization in Deep Neural Networks, by Naoki Sato et al.
Explicit and Implicit Graduated Optimization in Deep Neural Networksby Naoki Sato, Hideaki IidukaFirst submitted to…
Summary of Cnntention: Can Cnns Do Better with Attention?, by Nikhil Kapila et al.
CNNtention: Can CNNs do better with Attention?by Nikhil Kapila, Julian Glattki, Tejas RathiFirst submitted to…
Summary of Non-convex Optimization in Federated Learning Via Variance Reduction and Adaptive Learning, by Dipanwita Thakur et al.
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learningby Dipanwita Thakur, Antonella Guzzo,…
Summary of Scaled Conjugate Gradient Method For Nonconvex Optimization in Deep Neural Networks, by Naoki Sato et al.
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networksby Naoki Sato, Koshiro Izumi,…