FETA: Towards Specializing Foundational Models for Expert Task Applications
- Amit Alfassy
- Assaf Arbelle
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
24 results for Leonid Karlinsky
Baby steps towards few-shot learning with multiple semantics
- Eli Schwartz
- Leonid Karlinsky
- et al.
- 2022
- Pattern Recognition Letters
PaperUnsupervised Domain Generalization by Learning a Bridge Across Domains
- Sivan Harary
- Eli Schwartz
- et al.
- 2022
- CVPR 2022
Conference paperTask2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
- Samarth Mishra
- Rameswar Panda
- et al.
- 2022
- CVPR 2022
Conference paperA Maximal Correlation Approach to Imposing Fairness in Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- ICASSP 2022
Conference paperA Maximal Correlation Framework for Fair Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- Entropy
PaperMetAdapt: Meta-learned task-adaptive architecture for few-shot classification
- Sivan Doveh
- Eli Schwartz
- et al.
- 2021
- Pattern Recognition Letters
PaperRepmet: Representative-based metric learning for classification and few-shot object detection
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2019
- CVPR 2019
Conference paper∆-encoder: an effective sample synthesis method for few-shot object recognition
- Eli Schwartz
- Leonid Karlinsky
- et al.
- 2018
- NeurIPS 2018
Conference paperCo-regularized alignment for unsupervised domain adaptation
- Abhishek Kumar
- Kahini Wadhawan
- et al.
- 2018
- NeurIPS 2018
Conference paper