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Ameya Prabhu
Ameya Prabhu
Post-Doctoral Researcher, Tübingen AI Center
Verified email at bethgelab.org - Homepage
Title
Cited by
Cited by
Year
GDumb: A Simple Approach that Questions Our Progress in Continual Learning
A Prabhu, PHS Torr, PK Dokania
Proceedings of the European Conference on Computer Vision (ECCV) 2020, 2020
4632020
Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text
A Joshi, A Prabhu, M Shrivastava, V Varma
Proceedings of COLING 2016, the 26th International Conference on …, 2016
188*2016
Simple unsupervised multi-object tracking
S Karthik, A Prabhu, V Gandhi
arXiv preprint arXiv:2006.02609, 2020
842020
Deep expander networks: Efficient deep networks from graph theory
A Prabhu, G Varma, A Namboodiri
Proceedings of the European Conference on Computer Vision (ECCV), 20-35, 2018
792018
Sampling Bias in Deep Active Classification: An Empirical Study
A Prabhu, C Dognin, M Singh
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2019
612019
Towards deep learning in hindi ner: An approach to tackle the labelled data scarcity
V Athavale, S Bharadwaj, M Pamecha, A Prabhu, M Shrivastava
arXiv preprint arXiv:1610.09756, 2016
612016
Inverse Scaling: When Bigger Isn't Better
IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ...
arXiv preprint arXiv:2306.09479, 2023
59*2023
Real-time evaluation in online continual learning: A new hope
Y Ghunaim, A Bibi, K Alhamoud, M Alfarra, HA Al Kader Hammoud, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
24*2023
Computationally Budgeted Continual Learning: What Does Matter?
A Prabhu, HA Al Kader Hammoud, PK Dokania, PHS Torr, SN Lim, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
222023
Hybrid binary networks: optimizing for accuracy, efficiency and memory
A Prabhu, V Batchu, R Gajawada, SA Munagala, A Namboodiri
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 821-829, 2018
172018
Towards adversarial evaluations for inexact machine unlearning
S Goel, A Prabhu, A Sanyal, SN Lim, P Torr, P Kumaraguru
arXiv preprint arXiv:2201.06640, 2022
14*2022
Online continual learning without the storage constraint
A Prabhu, Z Cai, P Dokania, P Torr, V Koltun, O Sener
arXiv preprint arXiv:2305.09253, 2023
122023
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
S Karthik, A Prabhu, PK Dokania, V Gandhi
International Conference on Learning Representations (ICLR), 2021, 2021
112021
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
HA Al Kader Hammoud, A Prabhu, SN Lim, PHS Torr, A Bibi, B Ghanem
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
6*2023
STQ-Nets: Unifying Network Binarization and Structured Pruning
SA Munagala, A Prabhu, A Namboodiri
Proceedings of the British Machine Vision Conference (BMVC) 2020, 2020
32020
Distribution-aware binarization of neural networks for sketch recognition
A Prabhu, V Batchu, SA Munagala, R Gajawada, A Namboodiri
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 830-838, 2018
32018
CLActive: Episodic Memories for Rapid Active Learning
SA Munagala, S Subramanian, S Karthik, A Prabhu, A Namboodiri
Conference on Lifelong Learning Agents, 430-440, 2022
22022
Learning clustered sub-spaces for sketch-based image retrieval
K Ghosal, A Prabhu, R Dasgupta, AM Namboodiri
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 599-603, 2015
12015
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
A Prabhu, V Udandarao, P Torr, M Bethge, A Bibi, S Albanie
arXiv preprint arXiv:2402.19472, 2024
2024
Corrective Machine Unlearning
S Goel, A Prabhu, P Torr, P Kumaraguru, A Sanyal
arXiv preprint arXiv:2402.14015, 2024
2024
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