Sumeet Agarwal

According to our database1, Sumeet Agarwal authored at least 25 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




ECLARE: Extreme Classification with Label Graph Correlations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DECAF: Deep Extreme Classification with Label Features.
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

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
CoRR, 2020

Fast Road Sign Detection and Recognition Using Colour-Based Thresholding.
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

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

SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Modeling Image Virality with Pairwise Spatial Transformer Networks.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning.
Proceedings of the 6th International Workshop on Multilingual OCR, 2017

Examining Representational Similarity in ConvNets and the Primate Visual Cortex.
CoRR, 2016

Linguistic features for Hindi light verb construction identification.
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

Identification of Transition Models of Biological Systems in the Presence of Transition Noise.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Automated monocular vision based system for picking textureless objects.
Proceedings of the 2015 Conference on Advances In Robotics, 2015

Semantic clustering-based cross-domain recommendation.
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

Networks in nature : dynamics, evolution, and modularity.
PhD thesis, 2012

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

Kernel-based online machine learning and support vector reduction.
Neurocomputing, 2008

How Much Noise Is Too Much: A Study in Automatic Text Classification.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007