Summary of Infinite Width Models That Work: Why Feature Learning Doesn’t Matter As Much As You Think, by Luke Sernau
Infinite Width Models That Work: Why Feature Learning Doesn’t Matter as Much as You Thinkby…
Summary of All Random Features Representations Are Equivalent, by Luke Sernau et al.
All Random Features Representations are Equivalentby Luke Sernau, Silvano Bonacina, Rif A. SaurousFirst submitted to…
Summary of Online Stackelberg Optimization Via Nonlinear Control, by William Brown et al.
Online Stackelberg Optimization via Nonlinear Controlby William Brown, Christos Papadimitriou, Tim RoughgardenFirst submitted to arxiv…
Summary of Apigen: Automated Pipeline For Generating Verifiable and Diverse Function-calling Datasets, by Zuxin Liu et al.
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasetsby Zuxin Liu, Thai Hoang, Jianguo…
Summary of Towards Compositionality in Concept Learning, by Adam Stein et al.
Towards Compositionality in Concept Learningby Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric WongFirst…
Summary of Visual Analysis Of Prediction Uncertainty in Neural Networks For Deep Image Synthesis, by Soumya Dutta and Faheem Nizar and Ahmad Amaan and Ayan Acharya
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesisby Soumya Dutta, Faheem…
Summary of Selmatch: Effectively Scaling Up Dataset Distillation Via Selection-based Initialization and Partial Updates by Trajectory Matching, By Yongmin Lee and Hye Won Chung
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matchingby…
Summary of Views Can Be Deceiving: Improved Ssl Through Feature Space Augmentation, by Kimia Hamidieh et al.
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentationby Kimia Hamidieh, Haoran Zhang, Swami…
Summary of Memorized Images in Diffusion Models Share a Subspace That Can Be Located and Deleted, by Ruchika Chavhan and Ondrej Bohdal and Yongshuo Zong and Da Li and Timothy Hospedales
Memorized Images in Diffusion Models share a Subspace that can be Located and Deletedby Ruchika…
Summary of A Diagnostic Model For Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods, by Amir Masoud Rahmani et al.
A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methodsby Amir Masoud…