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ORCIDSumeet Agarwal
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2020 – today
- 2024
[c31]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: 74-84- [i15]Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. CoRR abs/2402.18434 (2024) - [i14]Oshin Dutta, Ritvik Gupta, Sumeet Agarwal:
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning. CoRR abs/2406.05276 (2024) - 2023
- [c30]Nishad Singhi, Sumeet Agarwal, Sumitava Mukherjee:
Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. CogSci 2023 - [c29]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: 358-367 - [c28]Oshin Dutta, Tanu Kanvar, Sumeet Agarwal:
Search-Time Efficient Device Constraints-Aware Neural Architecture Search. PReMI 2023: 38-48 - [c27]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: 258-266 - [i13]Oshin Dutta, Tanu Kanvar, Sumeet Agarwal:
Search-time Efficient Device Constraints-Aware Neural Architecture Search. CoRR abs/2307.04443 (2023) - [i12]Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Multi-modal Extreme Classification. CoRR abs/2309.04961 (2023) - 2022
- [c26]Sidharth Ranjan, Rajakrishnan Rajkumar, Sumeet Agarwal:
Interference and Case Marker Effects in Dependency Locality: Insights from Hindi. CogSci 2022 - [c25]Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Multi-modal Extreme Classification. CVPR 2022: 12383-12392 - [c24]Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar:
Discourse Context Predictability Effects in Hindi Word Order. EMNLP 2022: 10390-10406 - [c23]Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar:
Dual Mechanism Priming Effects in Hindi Word Order. AACL/IJCNLP (1) 2022: 936-953 - [i11]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 abs/2207.04452 (2022) - [i10]Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar:
Dual Mechanism Priming Effects in Hindi Word Order. CoRR abs/2210.13938 (2022) - [i9]Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar:
Discourse Context Predictability Effects in Hindi Word Order. CoRR abs/2210.13940 (2022) - 2021
- [c22]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: 312-323 - [c21]Hetvi Jethwani, Sumeet Agarwal:
Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. GECCO Companion 2021: 101-102 - [c20]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: 2330-2340 - [c19]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: 2744-2753 - [c18]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: 31-39 - [c17]Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. WSDM 2021: 49-57 - [c16]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. WWW 2021: 3721-3732 - [i8]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. CoRR abs/2108.00261 (2021) - [i7]Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. CoRR abs/2108.00368 (2021) - [i6]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 abs/2111.06685 (2021) - 2020
- [c15]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) 2020: 244-254 - [c14]Farah Jamal Ansari, Sumeet Agarwal:
Fast Road Sign Detection and Recognition Using Colour-Based Thresholding. CVIP (3) 2020: 318-331 - [i5]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR abs/2005.08199 (2020) - [i4]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 abs/2010.01343 (2020) - [i3]Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal:
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR abs/2010.04976 (2020)
2010 – 2019
- 2019
- [j4]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): 1341-1352 (2019) - [c13]Aditi Jha, Sumeet Agarwal:
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? CogSci 2019: 3290 - [c12]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: 103-109 - 2018
- [c11]Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal:
SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC 2018 - 2017
- [c10]Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury:
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. MOCR@ICDAR 2017: 37-41 - [c9]Abhimanyu Dubey, Sumeet Agarwal:
Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia 2017: 663-671 - [i2]Abhimanyu Dubey, Sumeet Agarwal:
Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR abs/1709.07914 (2017) - 2016
- [c8]Deepika Vatsa, Sumeet Agarwal, Ashwin Srinivasan:
Learning transition models of biological regulatory and signaling networks from noisy data. CODS 2016: 9:1-9:6 - [c7]Ashwini Vaidya, Sumeet Agarwal, Martha Palmer:
Linguistic features for Hindi light verb construction identification. COLING 2016: 1320-1329 - [i1]Abhimanyu Dubey, Jayadeva, Sumeet Agarwal:
Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR abs/1609.03529 (2016) - 2015
- [c6]Tanya Raghuvanshi, Shraddha Chaudhary, Varnica Jain, Sumeet Agarwal, Santanu Chaudhury:
Automated monocular vision based system for picking textureless objects. AIR 2015: 64:1-64:6 - [c5]Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal:
Identification of Transition Models of Biological Systems in the Presence of Transition Noise. ILP 2015: 200-214 - 2014
- [c4]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: 482-489 - [c3]Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal:
Semantic clustering-based cross-domain recommendation. CIDM 2014: 137-141 - 2012
- [b1]Sumeet Agarwal:
Networks in nature : dynamics, evolution, and modularity. University of Oxford, UK, 2012 - 2010
- [j3]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): 29 (2010) - [j2]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)
2000 – 2009
- 2008
- [j1]Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
Kernel-based online machine learning and support vector reduction. Neurocomputing 71(7-9): 1230-1237 (2008) - 2007
- [c2]Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
Kernel-based online machine learning and support vector reduction. ESANN 2007: 343-348 - [c1]Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, Shourya Roy:
How Much Noise Is Too Much: A Study in Automatic Text Classification. ICDM 2007: 3-12
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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