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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
Mixture proportion estimation via kernel embeddings of distributions
H Ramaswamy, C Scott, A Tewari
International conference on machine learning, 2052-2060, 2016
1372016
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
802020
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
502015
Consistent algorithms for multiclass classification with an abstain option
HG Ramaswamy, A Tewari, S Agarwal
Electronic Journal of Statistics 12 (1), 530-554, 2018
372018
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
342016
On controllable sparse alternatives to softmax
A Laha, SA Chemmengath, P Agrawal, M Khapra, K Sankaranarayanan, ...
Advances in neural information processing systems 31, 2018
332018
Convex calibration dimension for multiclass loss matrices
HG Ramaswamy, S Agarwal
The Journal of Machine Learning Research 17 (1), 397-441, 2016
312016
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
282013
Classification calibration dimension for general multiclass losses
HG Ramaswamy, S Agarwal
Advances in Neural Information Processing Systems 25, 2012
252012
Consistent algorithms for multiclass classification with a reject option
HG Ramaswamy, A Tewari, S Agarwal
arXiv preprint arXiv:1505.04137, 2015
162015
Convex calibrated surrogates for hierarchical classification
H Ramaswamy, A Tewari, S Agarwal
International Conference on Machine Learning, 1852-1860, 2015
142015
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
132019
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
112014
Cognitive commuter assistant
SRK Penubothula, LK Namboodiri, PK Jayachandran, HG Ramaswamy, ...
US Patent App. 15/795,447, 2019
52019
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
32020
Design and Analysis of Consistent Algorithms for Multiclass Learning Problems
HG Ramaswamy
PhD thesis, Indian Institute of Science, 2015
22015
Convex calibrated surrogates for the multi-label F-measure
M Zhang, HG Ramaswamy, S Agarwal
International Conference on Machine Learning, 11246-11255, 2020
12020
Automated constraint extraction and testing
S Kenkre, SRK Penubothula, D Shrivastava, HG Ramaswamy, V Pandit
US Patent 11,354,502, 2022
2022
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
2022
Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI)
U Jain, HG Ramaswamy
arXiv preprint arXiv:2111.13075, 2021
2021
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