Advanced Seminar in Intelligent Systems
סמינר מתקדם במערכות נבונות
Machine Learning
202-2-1551 Spring 2021 סמסטר ב
Lecturer: Prof. Moshe Sipper
Course Description
Topics
Lectures
Eyal S, Evolution Strategies as a Scalable Alternative to Reinforcement Learning Raz L, Classification: Basic Concepts, Decision Trees, and Model Evaluation Zvika H, Generative adversarial networks Nitzan C, Sequence to Sequence Learning with Neural Networks Snir T, Bagging, random forests Ron K, POMDP/MDP/RL Arnon I, Which Tasks Should Be Learned Together in Multi-task Learning Amir B, Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yael A, Auto-encoders Tomer L, Federated Learning Eden A, Dynamic Routing Between Capsules Oz M, Unitary Evolution Recurrent Neural Networks Or N, Data clustering: 50 years beyond K-means Omer K, clustering Linor H, Towards Effective Deep Learning for Constraint Satisfaction Problems Shay K, Siamese Neural Networks for One-shot Image Recognition Ella A, multimodal machine learning Amir S, Attention is all you need |
Schedule (may change)
Mar 1/ Moshe Sipper Mar 8/ Eyal S + Raz L Mar 15/ Zvika H + Nitzan C Mar 22/ Tomer L + Tal S Mar 29/ pesach Apr 5/ Snir T + Arnon I Apr 12/ Amir B + Yael A Apr 19/ Eden A Apr 26/ Ron K May 3/ Orad R May 10/ Amir S May 17/ shavuot May 24/ Oz M + Or N May 31/ Shay K + Ella A Jun 7/ Omer K Jun 14/ Linor H |