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Few-Shot Learning in CVPR19
Published:
TL;DR for all(?) few-shot papers from CVPR 2019. These are notes I originally wrote for myself, so take them with a grain of salt. Some of the papers I had the privilege of discussing with the authors at the poster sessions, some of them I read, and some of them I only skimmed through. Please let me know if I got something wrong.
portfolio
Portfolio item number 1
Published:
Short description of portfolio item number 1
Portfolio item number 2
Published:
Short description of portfolio item number 2
publications
DeepISP: Learning End-to-End Image Processing Pipeline
Published in IEEE Transactions on Image Processing, 2018
Download here
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Published in Arxiv, 2018
Download here
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Published in Advances in Neural Information Processing Systems, 2018
Spotlight (3% acceptance rate)
Download here
Baby steps towards few-shot learning with multiple semantics
Published in CVPR (Workshop), 2019
Download here
RepMet: Representative-based metric learning for classification and one-shot object detection
Published in IEEE Conference on Computer Vision and Pattern Recognition, 2019
Download here
Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Published in IEEE International Conference on Image Processing (ICIP), 2019
Download here
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Published in ACM Transactions on Computer Systems (TOCS), 2020
Download here
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Published in CVPR (Workshop), 2020
Download here
Fine-grained Angular Contrastive Learning with Coarse Labels
Published in CVPR 2021, 2020
Oral
Download here
ISP Distillation
Published in Arxiv, 2021
Download here
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Published in AAAI21, 2021
Download here
talks
Intro to AI
Published:
Intro to AI for young Arabs participating in the HASOUB Hackathon.
Neural Networks Quantization
Published:
Few-shot learning with multiple semantics
Published:
Small-Data in the Big-Data Era
Published:
A non-technical presentation summarizing my research, presented to ambassadors to Israel from around the world. Presentation
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.