Shashank Shekhar
Shashank Shekhar
AI Resident, Meta AI Research
Verified email at - Homepage
Cited by
Cited by
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
A cookbook of self-supervised learning
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 2023
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
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
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
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
J Singh, S Shekhar
arXiv:1811.04535, 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
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
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
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
Neural response time analysis: Explainable artificial intelligence using only a stopwatch
JET Taylor, S Shekhar, GW Taylor
Applied AI Letters 2 (4), e48, 2021
Neural Structure Mapping For Learning Abstract Visual Analogies
S Shekhar, GW Taylor
SVRHM 2021 Workshop @ NeurIPS, 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
Inductive Biases for Higher-Order Visual Cognition
S Shekhar
University of Guelph, 2022
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