Classification Calibration Dimension for General Multiclass Losses. - Harish G. Ramaswamy; Shivani Agarwal 001 (NIPS, 2012)

Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. - Harish G. Ramaswamy; Shivani Agarwal 001; Ambuj Tewari (NIPS, 2013)

On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. - Harish G. Ramaswamy; Balaji Srinivasan Babu; Shivani Agarwal 001; Robert C. Williamson (COLT, 2014)

Consistent Multiclass Algorithms for Complex Performance Measures. - Harikrishna Narasimhan; Harish G. Ramaswamy; Aadirupa Saha; Shivani Agarwal 001 (ICML, 2015)

Convex Calibrated Surrogates for Hierarchical Classification. - Harish G. Ramaswamy; Ambuj Tewari; Shivani Agarwal 001 (ICML, 2015)

Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics. - Harish G. Ramaswamy; Harikrishna Narasimhan; Shivani Agarwal 001 (CoRR, 2015)

Consistent Algorithms for Multiclass Classification with a Reject Option. - Harish G. Ramaswamy; Ambuj Tewari; Shivani Agarwal 001 (CoRR, 2015)

Optimizing the Multiclass F-Measure via Biconcave Programming. - Harikrishna Narasimhan; Weiwei Pan; Purushottam Kar; Pavlos Protopapas; Harish G. Ramaswamy (ICDM, 2016)

Mixture Proportion Estimation via Kernel Embeddings of Distributions. - Harish G. Ramaswamy; Clayton Scott; Ambuj Tewari (ICML, 2016)

Mixture Proportion Estimation via Kernel Embedding of Distributions. - Harish G. Ramaswamy; Clayton Scott; Ambuj Tewari (CoRR, 2016)

Convex Calibration Dimension for Multiclass Loss Matrices. - Harish G. Ramaswamy; Shivani Agarwal 001 (J. Mach. Learn. Res., 2016)

On Controllable Sparse Alternatives to Softmax. - Anirban Laha; Saneem Ahmed Chemmengath; Priyanka Agrawal; Mitesh M. Khapra; Karthik Sankaranarayanan; Harish G. Ramaswamy (NeurIPS, 2018)

On Knowledge distillation from complex networks for response prediction. - Siddhartha Arora; Mitesh M. Khapra; Harish G. Ramaswamy (NAACL-HLT (1), 2019)

Convex Calibrated Surrogates for the Multi-Label F-Measure. - Mingyuan Zhang; Harish Guruprasad Ramaswamy; Shivani Agarwal 001 (ICML, 2020)

Consistent Plug-in Classifiers for Complex Objectives and Constraints. - Shiv Kumar Tavker; Harish Guruprasad Ramaswamy; Harikrishna Narasimhan (NeurIPS, 2020)

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization. - Saurabh Desai; Harish G. Ramaswamy (WACV, 2020)

Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets. - Depen Morwani; Harish G. Ramaswamy (CoRR, 2020)

Using noise resilience for ranking generalization of deep neural networks. - Depen Morwani; Rahul Vashisht; Harish G. Ramaswamy (CoRR, 2020)

Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI). - Umangi Jain; Harish G. Ramaswamy (CoRR, 2021)

On the Interpretability of Attention Networks. - Lakshmi Narayan Pandey; Rahul Vashisht; Harish G. Ramaswamy (ACML, 2022)

Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets. - Depen Morwani; Harish G. Ramaswamy (ALT, 2022)

Consistent Multiclass Algorithms for Complex Metrics and Constraints. - Harikrishna Narasimhan; Harish G. Ramaswamy; Shiv Kumar Tavker; Drona Khurana; Praneeth Netrapalli; Shivani Agarwal 001 (CoRR, 2022)

On the Learning Dynamics of Attention Networks. - Rahul Vashisht; Harish G. Ramaswamy (ECAI, 2023)

Graph Classification with GNNs: Optimisation, Representation & Inductive Bias. - P. Krishna Kumar; Harish G. Ramaswamy (ECAI, 2024)

Half-Space Feature Learning in Neural Networks. - Mahesh Lorik Yadav; Harish Guruprasad Ramaswamy; Chandrashekar Lakshminarayanan (CoRR, 2024)

Graph Classification with GNNs: Optimisation, Representation and Inductive Bias. - P. Krishna Kumar; Harish G. Ramaswamy (CoRR, 2024)

Impact of Label Noise on Learning Complex Features. - Rahul Vashisht; P. Krishna Kumar; Harsha Vardhan Govind; Harish G. Ramaswamy (CoRR, 2024)

Deep Networks Learn Features From Local Discontinuities in the Label Function. - Prithaj Banerjee; Harish Guruprasad Ramaswamy; Mahesh Lorik Yadav; Chandra Shekar Lakshminarayanan (ICLR, 2025)

Optimizing Shortfall Risk Metric for Learning Regression Models. - Harish G. Ramaswamy; L. A. Prashanth (CoRR, 2025)