Sumeet Agarwal

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 41

Top Venues

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
Graph Regularized Encoder Training for Extreme Classification. CoRR (2024)
Ritika Singh, Sumeet Agarwal, Alex De Figueiredo, Misha Mishra, Devyani Agarwal
Quantifying the role of maternal recall in estimates of routine immunisation rates in India: a large-scale sub-national Bayesian modelling study. COMPASS (2024)
Oshin Dutta, Ritvik Gupta, Sumeet Agarwal
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning. CoRR (2024)
Nishad Singhi, Sumeet Agarwal, Sumitava Mukherjee
Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. CogSci (2023)
Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM (2023)
Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
Search-time Efficient Device Constraints-Aware Neural Architecture Search. CoRR (2023)
Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD (2023)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CoRR (2023)
Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
Search-Time Efficient Device Constraints-Aware Neural Architecture Search. PReMI (2023)
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
Discourse Context Predictability Effects in Hindi Word Order. EMNLP (2022)
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
Dual Mechanism Priming Effects in Hindi Word Order. AACL/IJCNLP (1) (2022)
Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR (2022)
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
Discourse Context Predictability Effects in Hindi Word Order. CoRR (2022)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-Hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CVPR (2022)
Sidharth Ranjan, Rajakrishnan Rajkumar, Sumeet Agarwal
Interference and Case Marker Effects in Dependency Locality: Insights from Hindi. CogSci (2022)
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
Dual Mechanism Priming Effects in Hindi Word Order. CoRR (2022)
Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. CoRR (2021)
Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. WACV (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. CoRR (2021)
Satyajit Maurya, Virendra Kumar Yadav, Sumeet Agarwal, Anup Singh
Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture. BrainLes@MICCAI (2) (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. WSDM (2021)
Hetvi Jethwani, Sumeet Agarwal
Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. GECCO Companion (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. WWW (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM (2021)
Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. CoRR (2020)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) (2020)
Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR (2020)
Farah Jamal Ansari, Sumeet Agarwal
Fast Road Sign Detection and Recognition Using Colour-Based Thresholding. CVIP (3) (2020)
Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR (2020)
Akash Nayak, Esha Baidya Kayal, Manish Arya, Jayanth Culli, Sonal Krishan, Sumeet Agarwal, Amit Mehndiratta
Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT. Int. J. Comput. Assist. Radiol. Surg. 14 (8) (2019)
Samvit Dammalapati, Rajakrishnan Rajkumar, Sumeet Agarwal
Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech. NAACL-HLT (Student Research Workshop) (2019)
Aditi Jha, Sumeet Agarwal
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? CogSci (2019)
Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal
SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC (2018)
Abhimanyu Dubey, Sumeet Agarwal
Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia (2017)
Abhimanyu Dubey, Sumeet Agarwal
Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR (2017)
Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. MOCR@ICDAR (2017)
Abhimanyu Dubey, Jayadeva, Sumeet Agarwal
Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR (2016)
Deepika Vatsa, Sumeet Agarwal, Ashwin Srinivasan
Learning transition models of biological regulatory and signaling networks from noisy data. CODS (2016)
Ashwini Vaidya, Sumeet Agarwal, Martha Palmer
Linguistic features for Hindi light verb construction identification. COLING (2016)
Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal
Identification of Transition Models of Biological Systems in the Presence of Transition Noise. ILP (2015)
Tanya Raghuvanshi, Shraddha Chaudhary, Varnica Jain, Sumeet Agarwal, Santanu Chaudhury
Automated monocular vision based system for picking textureless objects. AIR (2015)
Anil Kumar, Vikas Kapur, Apangshu Saha, Rajeev Kumar Gupta, Arun Singh, Santanu Chaudhury, Sumeet Agarwal
Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. BigData Congress (2014)
Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal
Semantic clustering-based cross-domain recommendation. CIDM (2014)
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, Ashwin Srinivasan
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). BMC Bioinform. 11 (S-1) (2010)
Sumeet Agarwal, Charlotte M. Deane, Mason A. Porter, Nick S. Jones
Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks. PLoS Comput. Biol. 6 (6) (2010)
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
Kernel-based online machine learning and support vector reduction. Neurocomputing 71 (7-9) (2008)
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
Kernel-based online machine learning and support vector reduction. ESANN (2007)
Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, Shourya Roy
How Much Noise Is Too Much: A Study in Automatic Text Classification. ICDM (2007)

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Publication Activity (10 Years)

Top Topics

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Sumeet Agarwal