A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 233* | 2023 |
Beyond neural scaling laws: beating power law scaling via data pruning B Sorscher, R Geirhos, S Shekhar, S Ganguli, A Morcos Advances in Neural Information Processing Systems 35, 19523-19536, 2022 | 227 | 2022 |
Ocr-vqa: Visual question answering by reading text in images A Mishra, S Shekhar, AK Singh, A Chakraborty 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 222 | 2019 |
Context-aware scene graph generation with seq2seq transformers Y Lu, H Rai, J Chang, B Knyazev, G Yu, S Shekhar, GW Taylor, M Volkovs Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 72 | 2021 |
From strings to things: Knowledge-enabled vqa model that can read and reason AK Singh, A Mishra, S Shekhar, A Chakraborty Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 54 | 2019 |
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN J Singh, S Shekhar arXiv:1811.04535, 2018 | 48 | 2018 |
Pug: Photorealistic and semantically controllable synthetic data for representation learning F Bordes, S Shekhar, M Ibrahim, D Bouchacourt, P Vincent, A Morcos Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
Operator-in-the-loop deep sequential multi-camera feature fusion for person re-identification KL Navaneet, RK Sarvadevabhatla, S Shekhar, RV Babu, A Chakraborty IEEE Transactions on Information Forensics and Security 15, 2375-2385, 2019 | 12* | 2019 |
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations S Shekhar, F Bordes, P Vincent, AS Morcos ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 11 | 2023 |
Response time analysis for explainability of visual processing in CNNs E Taylor, S Shekhar, GW Taylor Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
Neural response time analysis: Explainable artificial intelligence using only a stopwatch JET Taylor, S Shekhar, GW Taylor Applied AI Letters 2 (4), e48, 2021 | 3 | 2021 |
Neural Structure Mapping For Learning Abstract Visual Analogies S Shekhar, GW Taylor SVRHM 2021 Workshop @ NeurIPS, 2021 | 3 | 2021 |
Understanding contrastive versus reconstructive self-supervised learning of Vision Transformers S Shekhar, F Bordes, P Vincent, A Morcos NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice, 2022 | | 2022 |
Inductive Biases for Higher-Order Visual Cognition S Shekhar University of Guelph, 2022 | | 2022 |