Sumeet Agarwal

54 papers A* 8A 4B 8C 2Journal 19Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Regularized Encoder Training for Extreme Classification. WWW (Companion Volume) Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2025	B	`conf`	Heterogeneity in Loss Aversion Estimates across Modeling Approaches. CogSci Akhil Abburu, Sumeet Agarwal, Sumitava Mukherjee
2025	A*	`conf`	MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. ICML Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
2024	J	`jnl`	Graph Regularized Encoder Training for Extreme Classification. CoRR Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2024	C	`conf`	Quantifying the role of maternal recall in estimates of routine immunisation rates in India: a large-scale sub-national Bayesian modelling study. COMPASS Ritika Singh, Sumeet Agarwal, Alex De Figueiredo, Misha Mishra, Devyani Agarwal
2024	J	`jnl`	VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning. CoRR Oshin Dutta, Ritvik Gupta, Sumeet Agarwal
2023	A*	`conf`	Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	J	`jnl`	Multi-modal Extreme Classification. CoRR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	A	`conf`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 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
2023	—	`conf`	Search-Time Efficient Device Constraints-Aware Neural Architecture Search. PReMI Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
2023	J	`jnl`	Search-time Efficient Device Constraints-Aware Neural Architecture Search. CoRR Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
2023	B	`conf`	Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. CogSci Nishad Singhi, Sumeet Agarwal, Sumitava Mukherjee
2022	A*	`conf`	Discourse Context Predictability Effects in Hindi Word Order. EMNLP Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
2022	J	`jnl`	Discourse Context Predictability Effects in Hindi Word Order. CoRR Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
2022	—	`conf`	Dual Mechanism Priming Effects in Hindi Word Order. AACL/IJCNLP (1) Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
2022	J	`jnl`	Dual Mechanism Priming Effects in Hindi Word Order. CoRR Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar
2022	B	`conf`	Interference and Case Marker Effects in Dependency Locality: Insights from Hindi. CogSci Sidharth Ranjan, Rajakrishnan Rajkumar, Sumeet Agarwal
2022	A*	`conf`	Multi-modal Extreme Classification. CVPR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2022	J	`jnl`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR 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
2021	A	`conf`	A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. WACV Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP
2021	—	`conf`	Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture. BrainLes@MICCAI (2) Satyajit Maurya, Virendra Kumar Yadav, Sumeet Agarwal, Anup Singh
2021	A	`conf`	DECAF: Deep Extreme Classification with Label Features. WSDM Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	DECAF: Deep Extreme Classification with Label Features. CoRR Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	A	`conf`	DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021	J	`jnl`	DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021	A*	`conf`	ECLARE: Extreme Classification with Label Graph Correlations. WWW Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	ECLARE: Extreme Classification with Label Graph Correlations. CoRR Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	—	`conf`	Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. GECCO Companion Hetvi Jethwani, Sumeet Agarwal
2021	A*	`conf`	SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
2020	J	`jnl`	A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. CoRR Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta
2020	J	`jnl`	Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal
2020	—	`conf`	Fast Road Sign Detection and Recognition Using Colour-Based Thresholding. CVIP (3) Farah Jamal Ansari, Sumeet Agarwal
2020	—	`conf`	How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
2020	J	`jnl`	How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal
2019	J	`jnl`	Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT. Int. J. Comput. Assist. Radiol. Surg. Akash Nayak, Esha Baidya Kayal, Manish Arya, Jayanth Culli, Sonal Krishan, Sumeet Agarwal, Amit Mehndiratta
2019	B	`conf`	Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions? CogSci Aditi Jha, Sumeet Agarwal
2019	—	`conf`	Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech. NAACL-HLT (Student Research Workshop) Samvit Dammalapati, Rajakrishnan Rajkumar, Sumeet Agarwal
2018	B	`conf`	SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal
2017	—	`conf`	Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. MOCR@ICDAR Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury
2017	A*	`conf`	Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia Abhimanyu Dubey, Sumeet Agarwal
2017	J	`jnl`	Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR Abhimanyu Dubey, Sumeet Agarwal
2016	J	`jnl`	Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR Abhimanyu Dubey, Jayadeva, Sumeet Agarwal
2016	—	`conf`	Learning transition models of biological regulatory and signaling networks from noisy data. CODS Deepika Vatsa, Sumeet Agarwal, Ashwin Srinivasan
2016	B	`conf`	Linguistic features for Hindi light verb construction identification. COLING Ashwini Vaidya, Sumeet Agarwal, Martha Palmer
2015	—	`conf`	Automated monocular vision based system for picking textureless objects. AIR Tanya Raghuvanshi, Shraddha Chaudhary, Varnica Jain, Sumeet Agarwal, Santanu Chaudhury
2015	B	`conf`	Identification of Transition Models of Biological Systems in the Presence of Transition Noise. ILP Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal
2014	—	`conf`	Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. BigData Congress Anil Kumar, Vikas Kapur, Apangshu Saha, Rajeev Kumar Gupta, Arun Singh, Santanu Chaudhury, Sumeet Agarwal
2014	C	`conf`	Semantic clustering-based cross-domain recommendation. CIDM Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal
2012	—	`—`	Networks in nature : dynamics, evolution, and modularity. Sumeet Agarwal
2010	J	`jnl`	Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM). BMC Bioinform. Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, Ashwin Srinivasan
2010	J	`jnl`	Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks. PLoS Comput. Biol. Sumeet Agarwal, Charlotte M. Deane, Mason A. Porter, Nick S. Jones
2008	J	`jnl`	Kernel-based online machine learning and support vector reduction. Neurocomputing Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
2007	A*	`conf`	How Much Noise Is Too Much: A Study in Automatic Text Classification. ICDM Sumeet Agarwal, Shantanu Godbole, Diwakar Punjani, Shourya Roy
2007	B	`conf`	Kernel-based online machine learning and support vector reduction. ESANN Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick