Learning Club

On November 18,  Dr. Haggai Maron from the Technion will give a talk titled: Exploiting Symmetries for Learning in Deep Weight Spaces Abstract: This talk explores the emerging research direction that studies neural network weights as a novel data modality. We'll discuss recent advances in processing and analyzing raw weight matrices, which exhibit inherent symmetries ... Read more

On November 25,  Dr. Nir Weinberger from the Technion will give a talk titled: Statistical curriculum learning -- An elimination algorithm achieving the weak oracle risk Abstract: Curriculum Learning (CL) is a successful machine learning strategy that improves a learner’s performance by ordering the tasks according to difficulty, similarly to the way humans learn.  However, ... Read more

On December 1 (Note this is Sunday),  Dr. Yehuda Dar from the Ben Gurion University will give a talk titled: Generalization in Overparameterized Machine Learning Abstract: Modern machine learning models are highly overparameterized (i.e., they are very complex with many more parameters than the number of training data examples); yet, these models often generalize extremely ... Read more

On January 13,  Dr. Sagie Benaim from the Hebrew University of Jerusalem will give a talk titled: Distilling Foundation Models for 3D Generation and Understanding Abstract: Visual foundation models have revolutionized 2D visual tasks, achieving remarkable success in both discriminative and generative domains by leveraging massive collections of 2D data through self-supervised learning. However, the ... Read more

On January 27,  Dr. Yaniv Romano from the Technion will give a talk titled:  Statistics-Powered ML: Building Trust and Robustness in Black-Box Predictions Abstract: Modern ML models produce valuable predictions across various applications, influencing people’s lives, opportunities, and scientific advancements. However, these systems can fail in unexpected ways, delivering unreliable inferences and perpetuating biases present ... Read more