Sumeet Agarwal
Orcid: 0000-0002-5714-3921
According to our database1,
Sumeet Agarwal
authored at least 39 papers
between 2007 and 2024.
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Bibliography
2024
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning.
CoRR, 2024
Quantifying the role of maternal recall in estimates of routine immunisation rates in India: a large-scale sub-national Bayesian modelling study.
Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2024
2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WSDM '21, 2021
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.
Proceedings of the WSDM '21, 2021
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
CoRR, 2020
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
2019
Computer-aided diagnosis of cirrhosis and hepatocellular carcinoma using multi-phase abdomen CT.
Int. J. Comput. Assist. Radiol. Surg., 2019
Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
2017
Proceedings of the 2017 ACM on Multimedia Conference, 2017
Proceedings of the 6th International Workshop on Multilingual OCR, 2017
2016
CoRR, 2016
Proceedings of the COLING 2016, 2016
Learning transition models of biological regulatory and signaling networks from noisy data.
Proceedings of the 3rd IKDD Conference on Data Science, 2016
2015
Identification of Transition Models of Biological Systems in the Presence of Transition Noise.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015
Proceedings of the 2015 Conference on Advances In Robotics, 2015
2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014
2012
2010
Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks.
PLoS Comput. Biol., 2010
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM).
BMC Bioinform., 2010
2008
Neurocomputing, 2008
2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007