Harish G. Ramaswamy

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 18

Top Topics

Multiclass Learning

Cost Sensitive Classification

Multiclass Classification

Top Venues

Publications

Rahul Vashisht, Harish G. Ramaswamy
On the Learning Dynamics of Attention Networks. CoRR (2023)
Rahul Vashisht, Harish G. Ramaswamy
On the Learning Dynamics of Attention Networks. ECAI (2023)
Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy
On the Interpretability of Attention Networks. ACML (2022)
Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal
Consistent Multiclass Algorithms for Complex Metrics and Constraints. CoRR (2022)
Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy
On the Interpretability of Attention Networks. CoRR (2022)
Depen Morwani, Harish G. Ramaswamy
Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets. ALT (2022)
Umangi Jain, Harish G. Ramaswamy
Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI). CoRR (2021)
Depen Morwani, Rahul Vashisht, Harish G. Ramaswamy
Using noise resilience for ranking generalization of deep neural networks. CoRR (2020)
Depen Morwani, Harish G. Ramaswamy
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets. CoRR (2020)
Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal
Convex Calibrated Surrogates for the Multi-Label F-Measure. CoRR (2020)
Saurabh Desai, Harish G. Ramaswamy
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization. WACV (2020)
Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy
On Knowledge distillation from complex networks for response prediction. NAACL-HLT (1) (2019)
Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy
On Controllable Sparse Alternatives to Softmax. CoRR (2018)
Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy
On Controllable Sparse Alternatives to Softmax. NeurIPS (2018)
Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy
Optimizing the Multiclass F-Measure via Biconcave Programming. ICDM (2016)
Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
Mixture Proportion Estimation via Kernel Embeddings of Distributions. ICML (2016)
Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
Mixture Proportion Estimation via Kernel Embedding of Distributions. CoRR (2016)
Harish G. Ramaswamy, Shivani Agarwal
Convex Calibration Dimension for Multiclass Loss Matrices. J. Mach. Learn. Res. 17 (2016)
Harish G. Ramaswamy, Harikrishna Narasimhan, Shivani Agarwal
Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics. CoRR (2015)
Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
Consistent Algorithms for Multiclass Classification with a Reject Option. CoRR (2015)
Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
Convex Calibrated Surrogates for Hierarchical Classification. ICML (2015)
Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal
Consistent Multiclass Algorithms for Complex Performance Measures. ICML (2015)
Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, Robert C. Williamson
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. COLT (2014)
Harish G. Ramaswamy, Shivani Agarwal
Convex Calibration Dimension for Multiclass Loss Matrices. CoRR (2014)
Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. NIPS (2013)
Harish G. Ramaswamy, Shivani Agarwal
Classification Calibration Dimension for General Multiclass Losses. NIPS (2012)