Unsupervised Domain Generalization by Learning a Bridge Across Domains
- Sivan Harary
- Eli Schwartz
- et al.
- 2022
- CVPR 2022
Publications
22 results for Leonid Karlinsky
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
- Samarth Mishra
- Rameswar Panda
- et al.
- 2022
- CVPR 2022
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- ICASSP 2022
A Maximal Correlation Framework for Fair Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- Entropy
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
- Sivan Doveh
- Eli Schwartz
- et al.
- 2021
- Pattern Recognition Letters
Repmet: Representative-based metric learning for classification and few-shot object detection
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2019
- CVPR 2019
∆-encoder: an effective sample synthesis method for few-shot object recognition
- Eli Schwartz
- Leonid Karlinsky
- et al.
- 2018
- NeurIPS 2018
Co-regularized alignment for unsupervised domain adaptation
- Abhishek Kumar
- Kahini Wadhawan
- et al.
- 2018
- NeurIPS 2018
Fine-grained recognition of thousands of object categories with single-example training
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2017
- CVPR 2017
A CNN based method for automatic mass detection and classification in mammograms
- Ayelet Akselrod-Ballin
- Leonid Karlinsky
- et al.
- 2017
- CMBB: Imaging and Visualization