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, Or N, Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development Omer K, Shay A, SelectiveNet: A Deep Neural Network with an Integrated Reject Option Linor H Shay K, Siamese Neural Networks for One-shot Image Recognition Ella A, |
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/ ? + ? May 10/ ? + ? May 17/ shavuot May 24/ Oz M + Or N May 31/ Shay K + Ella A Jun 7/ Omer K + ? Jun 14/ Shay A + Linor H |