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Suraj Srinivas
Suraj Srinivas
Postdoctoral Research Fellow at Harvard University
Verified email at seas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Data-free parameter pruning for deep neural networks
S Srinivas, RV Babu
British Machine Vision Conference (BMVC), 2015
5232015
A taxonomy of deep convolutional neural nets for computer vision
S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ...
Frontiers in Robotics and AI 2, 36, 2016
273*2016
Training sparse neural networks
S Srinivas, A Subramanya, R Venkatesh Babu
CVPR Embedded Vision Workshop, 138-145, 2017
1692017
Full-gradient representation for neural network visualization
S Srinivas, F Fleuret
Neural Information Processing Systems (NeurIPS), 2019
1492019
Knowledge Transfer with Jacobian Matching
S Srinivas, F Fleuret
International Conference on Machine Learning (ICML), 2018
1292018
Estimating Confidence for Deep Neural Networks through Density modeling
A Subramanya, S Srinivas, RV Babu
2018 International Conference on Signal Processing and Communications (SPCOM …, 2018
55*2018
Learning the architecture of deep neural networks
S Srinivas, RV Babu
British Machine Vision Conference (BMVC), 2016
46*2016
Generalized dropout
S Srinivas, RV Babu
Tech Report, 2016
432016
Rethinking the Role of Gradient Based Attribution Methods for Model Interpretability
S Srinivas, F Fleuret
International Conference on Learning Representations (ICLR), 2021
27*2021
Which explanation should i choose? a function approximation perspective to characterizing post hoc explanations
T Han, S Srinivas, H Lakkaraju
arXiv preprint arXiv:2206.01254, 2022
42022
Compensating for large in-plane rotations in natural images
L Boominathan, S Srinivas, RV Babu
Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016
42016
Data-efficient structured pruning via submodular optimization
ME Halabi, S Srinivas, S Lacoste-Julien
arXiv preprint arXiv:2203.04940, 2022
12022
Cyclical Pruning for Sparse Neural Networks
S Srinivas, A Kuzmin, M Nagel, M van Baalen, A Skliar, T Blankevoort
CVPR Workshop on Efficient Deep Learning for Computer Vision, 2022
12022
Gradient-based Methods for Deep Model Interpretability
S Srinivas
EPFL, 2021
12021
Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition
S Srinivas, A Adiga, CS Seelamantula
2014 IEEE International Conference on Image Processing (ICIP), 5826-5830, 2014
12014
Efficient Training of Low-Curvature Neural Networks
S Srinivas, K Matoba, H Lakkaraju, F Fleuret
Advances in Neural Information Processing Systems, 2022
2022
Learning Compact Architectures for Deep Neural Networks
S Srinivas
2018
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