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Harish Guruprasad Ramaswamy
Harish Guruprasad Ramaswamy
Assistant Professor of Computer Science and Engineering, IIT Madras
Verified email at cse.iitm.ac.in - Homepage
Title
Cited by
Cited by
Year
Ablation-cam: Visual explanations for deep convolutional network via gradient-free localization
HG Ramaswamy
proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
3602020
Mixture proportion estimation via kernel embeddings of distributions
H Ramaswamy, C Scott, A Tewari
International conference on machine learning, 2052-2060, 2016
2002016
Consistent algorithms for multiclass classification with an abstain option
HG Ramaswamy, A Tewari, S Agarwal
722018
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
662015
On controllable sparse alternatives to softmax
A Laha, SA Chemmengath, P Agrawal, M Khapra, K Sankaranarayanan, ...
Advances in neural information processing systems 31, 2018
562018
Optimizing the multiclass F-measure via biconcave programming
H Narasimhan, W Pan, P Kar, P Protopapas, HG Ramaswamy
2016 IEEE 16th international conference on data mining (ICDM), 1101-1106, 2016
502016
Convex calibration dimension for multiclass loss matrices
HG Ramaswamy, S Agarwal
Journal of Machine Learning Research 17 (14), 1-45, 2016
502016
Convex calibrated surrogates for low-rank loss matrices with applications to subset ranking losses
HG Ramaswamy, S Agarwal, A Tewari
Advances in Neural Information Processing Systems 26, 2013
372013
Classification calibration dimension for general multiclass losses
HG Ramaswamy, S Agarwal
Advances in Neural Information Processing Systems 25, 2012
322012
Consistent algorithms for multiclass classification with a reject option
HG Ramaswamy, A Tewari, S Agarwal
arXiv preprint arXiv:1505.04137, 2015
232015
Convex calibrated surrogates for hierarchical classification
H Ramaswamy, A Tewari, S Agarwal
International Conference on Machine Learning, 1852-1860, 2015
222015
On knowledge distillation from complex networks for response prediction
S Arora, MM Khapra, HG Ramaswamy
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
212019
On the consistency of output code based learning algorithms for multiclass learning problems
HG Ramaswamy, BS Babu, S Agarwal, RC Williamson
Conference on Learning Theory, 885-902, 2014
182014
Convex calibrated surrogates for the multi-label f-measure
M Zhang, HG Ramaswamy, S Agarwal
International Conference on Machine Learning, 11246-11255, 2020
142020
Cognitive commuter assistant
SRK Penubothula, LK Namboodiri, PK Jayachandran, HG Ramaswamy, ...
US Patent 11,423,280, 2022
122022
Consistent plug-in classifiers for complex objectives and constraints
SK Tavker, HG Ramaswamy, H Narasimhan
Advances in Neural Information Processing Systems 33, 20366-20377, 2020
72020
On the Interpretability of Attention Networks
LN Pandey, R Vashisht, HG Ramaswamy
Asian Conference on Machine Learning, 832-847, 2023
32023
Consistent multiclass algorithms for complex metrics and constraints
H Narasimhan, HG Ramaswamy, SK Tavker, D Khurana, P Netrapalli, ...
arXiv preprint arXiv:2210.09695, 2022
32022
Inductive bias of gradient descent for weight normalized smooth homogeneous neural nets
D Morwani, HG Ramaswamy
International Conference on Algorithmic Learning Theory, 827-880, 2022
32022
Using noise resilience for ranking generalization of deep neural networks
D Morwani, R Vashisht, HG Ramaswamy
arXiv preprint arXiv:2012.08854, 2020
22020
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