Vinay Uday Prabhu
Vinay Uday Prabhu
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Large image datasets: A pyrrhic win for computer vision?
A Birhane, VU Prabhu
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 1536-1546, 2021
Multimodal datasets: misogyny, pornography, and malignant stereotypes
A Birhane, VU Prabhu, E Kahembwe
arXiv preprint arXiv:2110.01963, 2021
Cross‐Layer Resource Allocation and Scheduling
I Harjula, M Hiivala, VU Prabhu, D Toumpakaris, H Zhu
Next Generation Wireless Communications Using Radio over Fiber, 191-210, 2012
On Wireless Channels With -Antenna Eavesdroppers: Characterization of the Outage Probability and -Outage Secrecy Capacity
VU Prabhu, MRD Rodrigues
IEEE Transactions on Information Forensics and Security 6 (3), 853-860, 2011
Kannada-MNIST: A new handwritten digits dataset for the Kannada language
VU Prabhu
arXiv preprint arXiv:1908.01242, 2019
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
Do deep neural networks learn shallow learnable examples first?
K Mangalam, VU Prabhu
ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena, 2019
Into the laion’s den: Investigating hate in multimodal datasets
A Birhane, S Han, V Boddeti, S Luccioni
Advances in Neural Information Processing Systems 36, 2024
An improved ESPRIT based time-of-arrival estimation algorithm for vehicular OFDM systems
VU Prabhu, D Jalihal
VTC Spring 2009-IEEE 69th Vehicular Technology Conference, 1-4, 2009
On hate scaling laws for data-swamps
A Birhane, V Prabhu, S Han, VN Boddeti
arXiv preprint arXiv:2306.13141, 2023
Auditing saliency cropping algorithms
A Birhane, VU Prabhu, J Whaley
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Model weight theft with just noise inputs: The curious case of the petulant attacker
N Roberts, VU Prabhu, M McAteer
arXiv preprint arXiv:1912.08987, 2019
Understanding adversarial robustness through loss landscape geometries
VU Prabhu, DA Yap, J Xu, J Whaley
arXiv preprint arXiv:1907.09061, 2019
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
SU Toshniwal, S Debnath, S Shakeri, S Thormeyer, S Melzi, S Reddy, ...
ArXiv, abs/2206.04615, 2022
Fonts-2-handwriting: A seed-augment-train framework for universal digit classification
VU Prabhu, S Han, DA Yap, M Douhaniaris, P Seshadri, J Whaley
arXiv preprint arXiv:1905.08633, 2019
Vulnerability of deep learning-based gait biometric recognition to adversarial perturbations
VU Prabhu, J Whaley
CVPR Workshop on The Bright and Dark Sides of Computer Vision: Challenges …, 2017
Acctionnet: A dataset of human activity recognition using on-phone motion sensors
J Bartlett, V Prabhu, J Whaley
Proceedings of the 34th international conference on machine learning (Sydney …, 2017
Deep connectomics networks: Neural network architectures inspired by neuronal networks
N Roberts, DA Yap, VU Prabhu
arXiv preprint arXiv:1912.08986, 2019
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance
VU Prabhu, DA Yap, A Wang, J Whaley
arXiv preprint arXiv:1907.12917, 2019
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