How Much Noise Is Too Much: A Study in Automatic Text Classification. - Sumeet Agarwal; Shantanu Godbole; Diwakar Punjani; Shourya Roy (ICDM, 2007)

Kernel-based online machine learning and support vector reduction. - Sumeet Agarwal; V. Vijaya Saradhi; Harish Karnick (Neurocomputing, 2008)

Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). - Sumeet Agarwal; Candida Vaz; Alok Bhattacharya; Ashwin Srinivasan 001 (BMC Bioinform., 2010)

Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks. - Sumeet Agarwal; Charlotte M. Deane; Mason A. Porter; Nick S. Jones (PLoS Comput. Biol., 2010)

Networks in nature : dynamics, evolution, and modularity. - Sumeet Agarwal (2012)

Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. - Anil Kumar; Vikas Kapur; Apangshu Saha; Rajeev Kumar Gupta; Arun Singh; Santanu Chaudhury; Sumeet Agarwal (BigData Congress, 2014)

Semantic clustering-based cross-domain recommendation. - Anil Kumar; Nitesh Kumar; Muzammil Hussain; Santanu Chaudhury; Sumeet Agarwal (CIDM, 2014)

Automated monocular vision based system for picking textureless objects. - Tanya Raghuvanshi; Shraddha Chaudhary; Varnica Jain; Sumeet Agarwal; Santanu Chaudhury (AIR, 2015)

Identification of Transition Models of Biological Systems in the Presence of Transition Noise. - Ashwin Srinivasan 001; Michael Bain 001; Deepika Vatsa; Sumeet Agarwal (ILP, 2015)

Learning transition models of biological regulatory and signaling networks from noisy data. - Deepika Vatsa; Sumeet Agarwal; Ashwin Srinivasan 001 (CODS, 2016)

Linguistic features for Hindi light verb construction identification. - Ashwini Vaidya; Sumeet Agarwal; Martha Palmer (COLING, 2016)

Examining Representational Similarity in ConvNets and the Primate Visual Cortex. - Abhimanyu Dubey; Jayadeva; Sumeet Agarwal (CoRR, 2016)

Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. - Dipankar Ganguly; Sumeet Agarwal; Santanu Chaudhury (MOCR@ICDAR, 2017)

Modeling Image Virality with Pairwise Spatial Transformer Networks. - Abhimanyu Dubey; Sumeet Agarwal (ACM Multimedia, 2017)

SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. - Shubham Bhardwaj; Neelamadhav Gantayat; Nikhil Chaturvedi; Rahul Garg 001; Sumeet Agarwal (LREC, 2018)

Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? - Aditi Jha; Sumeet Agarwal (CogSci, 2019)

Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech. - Samvit Dammalapati; Rajakrishnan Rajkumar; Sumeet Agarwal (NAACL-HLT (Student Research Workshop), 2019)

Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT. - Akash Nayak; Esha Baidya Kayal; Manish Arya; Jayanth Culli; Sonal Krishan; Sumeet Agarwal; Amit Mehndiratta (Int. J. Comput. Assist. Radiol. Surg., 2019)

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? - Gantavya Bhatt; Hritik Bansal; Rishubh Singh; Sumeet Agarwal (ACL (student), 2020)

Fast Road Sign Detection and Recognition Using Colour-Based Thresholding. - Farah Jamal Ansari; Sumeet Agarwal (CVIP (3), 2020)

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? - Hritik Bansal; Gantavya Bhatt; Sumeet Agarwal (CoRR, 2020)

Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture. - Satyajit Maurya; Virendra Kumar Yadav; Sumeet Agarwal; Anup Singh (BrainLes@MICCAI (2), 2021)

Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. - Hetvi Jethwani; Sumeet Agarwal (GECCO Companion, 2021)

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. - Kunal Dahiya; Ananye Agarwal; Deepak Saini; Gururaj K; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Purushottam Kar; Manik Varma (ICML, 2021)

A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. - Ayush Srivastava; Oshin Dutta; Jigyasa Gupta; Sumeet Agarwal; Prathosh AP (WACV, 2021)

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. - Kunal Dahiya; Deepak Saini; Anshul Mittal; Ankush Shaw; Kushal Dave 001; Akshay Soni; Himanshu Jain; Sumeet Agarwal; Manik Varma (WSDM, 2021)

DECAF: Deep Extreme Classification with Label Features. - Anshul Mittal; Kunal Dahiya; Sheshansh Agrawal; Deepak Saini; Sumeet Agarwal; Purushottam Kar; Manik Varma (WSDM, 2021)

ECLARE: Extreme Classification with Label Graph Correlations. - Anshul Mittal; Noveen Sachdeva; Sheshansh Agrawal; Sumeet Agarwal; Purushottam Kar; Manik Varma (WWW, 2021)

Interference and Case Marker Effects in Dependency Locality: Insights from Hindi. - Sidharth Ranjan; Rajakrishnan Rajkumar; Sumeet Agarwal (CogSci, 2022)

Multi-modal Extreme Classification. - Anshul Mittal; Kunal Dahiya; Shreya Malani; Janani Ramaswamy; Seba Ann Kuruvilla; Jitendra Ajmera; Keng-hao Chang; Sumeet Agarwal; Purushottam Kar; Manik Varma (CVPR, 2022)

Discourse Context Predictability Effects in Hindi Word Order. - Sidharth Ranjan; Marten van Schijndel; Sumeet Agarwal; Rajakrishnan Rajkumar (EMNLP, 2022)

Dual Mechanism Priming Effects in Hindi Word Order. - Sidharth Ranjan; Marten van Schijndel; Sumeet Agarwal; Rajakrishnan Rajkumar (AACL/IJCNLP (1), 2022)

Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. - Nishad Singhi; Sumeet Agarwal; Sumitava Mukherjee (CogSci, 2023)

Deep Encoders with Auxiliary Parameters for Extreme Classification. - Kunal Dahiya; Sachin Yadav 002; Sushant Sondhi; Deepak Saini; Sonu Mehta; Jian Jiao 007; Sumeet Agarwal; Purushottam Kar; Manik Varma (KDD, 2023)

Search-Time Efficient Device Constraints-Aware Neural Architecture Search. - Oshin Dutta; Tanu Kanvar; Sumeet Agarwal (PReMI, 2023)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification. - Kunal Dahiya; Nilesh Gupta; Deepak Saini; Akshay Soni; Yajun Wang; Kushal Dave 001; Jian Jiao 007; Gururaj K; Prasenjit Dey; Amit Singh 003; Deepesh Hada; Vidit Jain; et al. (WSDM, 2023)

Quantifying the role of maternal recall in estimates of routine immunisation rates in India: a large-scale sub-national Bayesian modelling study. - Ritika Singh; Sumeet Agarwal; Alex De Figueiredo; Misha Mishra; Devyani Agarwal (COMPASS, 2024)

Graph Regularized Encoder Training for Extreme Classification. - Anshul Mittal; Shikhar Mohan; Deepak Saini; Suchith C. Prabhu; Jian Jiao 007; Sumeet Agarwal; Soumen Chakrabarti; Purushottam Kar; Manik Varma (CoRR, 2024)

VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning. - Oshin Dutta; Ritvik Gupta; Sumeet Agarwal (CoRR, 2024)

Graph Regularized Encoder Training for Extreme Classification. - Anshul Mittal; Shikhar Mohan; Deepak Saini; Siddarth Asokan; Suchith Chidananda Prabhu; Lakshya Kumar; Pankaj Malhotra; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Soumen Chakrabarti; Purushottam Kar; et al. (WWW (Companion Volume), 2025)