Research
Listed are my research works. Click on the years to navigate around.
Pug: Photorealistic and semantically controllable synthetic data for representation learning
Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos
Neural Information Processing Systems (NeurIPS) Conference, 2023: Datasets and Benchmark Track
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations
Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos
International Conference on Learning Representations (ICLR), 2023: Workshop on Mathematical and Empirical Understanding of Foundation Models
Understanding contrastive versus reconstructive self-supervised learning of Vision Transformers
Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos
Neural Information Processing Systems (NeurIPS) Workshop, 2022: Self-Supervised Learning - Theory and Practice
Response Time Analysis for Explainability of Visual Processing in CNNs
Eric Taylor, Shashank Shekhar, Graham Taylor
Computer Vision and Pattern Recognition (CVPR) Workshop, 2020: Minds vs Machines
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