Course Schedule

Date	Topic	Lecturer	Slides	Papers
24/3	Introduction and Deep Internal Learning	Michal & Assaf	Intro	Zero Shot Super-Resolution using Deep Internal Learning (CVPR'18) Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors (CVPR'19) InGAN: Capturing and Remapping the "DNA" of a Natural Image
31/3	Advances in GANs	Sefi Bell Kligler & Akhiad Bercovich	GANs	Pix2Pix CycleGAN Everybody dance now Pix2PixHD A Style-Based Generator Architecture for Generative Adversarial Networks BigGAN Towards a Deeper Understanding of Adversarial Losses
7/4	Self-supervision	Ben Finestein & Ofer Israelov	Self Supervision	Context Encoders: Feature Learning by Inpainting (al et Darrel, Efros) Efros, Jigsaw ICCV'15 Jigsaw, Noroozi & Favaro Learning to count, Noroozi, Pirisivash, Favaro Colorful Image Colorization, Zhang, Isola, Efros Tracking Emerges by Colorizing Videos, Vondrick et al Learning Correspondence from the Cycle-Consistency of Time, Wang, Jabri, Efros
14/4	Understanding CNN properties	Liad Polak & Assaf Shocher	CNN props	Understanding deep learning requires rethinking generalization Catastrophic forgetting, Bengio, ICLR19 Effective Receptive Field, Urtasun, NIPS16 Are All Layers Created Equal?, Yoram Singer
21/4	NO CLASS (PASSOVER)
28/4	One/few shot learning	Michael Roitman & Shir Amir	one/few shot learning	Deepmind, Matching Networks for One Shot Learning Karlinsky, RepMet Karlinsky, Delta-encoder Learning to Compare A closer look at few-shot classification, accepted ICLR19
5/5	Non-local neural networks	Gil Pinsky & Hila Levi	non local	Attention is all you need Non-local Neural Networks, Wang, Girshick, Gupta, He A simple neural network module for relational reasoning Relational Deep Reinforcement Learning Non-Local Recurrent Network for Image Restoration Feature Denoising for Improving Adversarial Robustness Self attention GAN, Zhang, Goodfellow Metaxas, Odena
12/5	Transfer/multi-task learning	Lior Yariv & Niv Granot	transfer / multitask learning	Taskonomy (Zamir, Malik) (best paper CVPR18) Partial Transfer Learning with Selective Adversarial Networks (Michael Jordan, CVPR18) Multi-task learning as multi-objective optimization (Koltun, NIPS18)
19/5	Neural architecture search	Dror Moran & Maayan Tamari	NAS	NAS with RL, ICLR17 DeepMind&CMU, Differentiable NAS Simple NAS for CNNs, ICLR18 Efficient NAS, ICML18 Image-net SotA NAS over a graph Urtasun, accepted ICLR19 Survey
26/5	Image Enhancement & Quality assesment	Gil Karni & Shai Sapir		Deep Features as a Perceptual Metric, Isola, Efros, Shechtman, CVPR18 Perception-Distortion, Blau, Michaeli, CVPR18
2/6	Vision and Audio	Ilan Aizelman & Natan Bibelnik	lip_reading audio_visual	Looking to listen at the cocktail party, SIG18 The sound of pixels, Torralba, ECCV18 Self-Supervised, Efros, ECCV18 oral 2 papers, Zisserman, ECCV18 X2Face, Zisserman ECCV18 Learning to lip read words by watching videos Deep Lip Reading: a comparison of models and an online application
9/6	NO CLASS (SHAVUOT)
16/6	NO CLASS (CVPR conference)
23/6	Semi-supervised learning	Shahaf Wagner & Omri Kramer	semi-supervised	Towards Omni-Supervised Learning- He, CVPR18 Realistic Evaluation of Deep Semi-Supervised Learning Algorithms- Goodfellow NIPS18 MixMatch: A Holistic Approach to Semi-Supervised Learning (By authors from Google Brain including Ian Goodfellow) Billion-scale semi-supervised learning for image classification (By Facebook AI) X2Face, Zisserman ECCV18 Learning to lip read words by watching videos Deep Lip Reading: a comparison of models and an online application
30/6	Interpretability & Visualization	Shmuel Fine & Amir Goren
7/7	Adversarial attacks and defences	Matan Schlanger & Samuel Londner