Mohit Yadav
PhD Candidate, University of massachusetts Amherst
ymohit [AT] cs.umass.edu
Bio
I am a Ph.D. Candidate at CICS, University of Massachusetts Amherst. My research examines learning problems with an emphasis on their foundations and applications. In particular, my research interests include Gaussian processes and NLP, focusing on fast inference for Gaussian processes and deep learning for NLP.
Currently, my advisors are Prof. Daniel Sheldon and Prof. Cameron Musco. Previously, I was a research assistant for Prof. Andrew McCallum, a research engineer for TCS research and a bachelor's student at the Indian Institute of Technology, Mandi.
Publications
+ Kernel Interpolation with Sparse Grids PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
Conference on Neural Information Processing Systems (NeurIPS) 2022, (acceptance rate 25.6%)
+ Fast Kernel Interpolation for Gaussian Processes PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, (Oral, top~3%, 48/1527)
+ Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders PDF
Andrew Drozdov*, Pat Verga*, Mohit Yadav*, Mohit Iyyer, Andrew McCallum
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2019, (Oral, top~9%, 91/1067)
+ Kernel Interpolation with Sparse Grids PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
Conference on Neural Information Processing Systems (NeurIPS) 2022, (acceptance rate 25.6%)
+ Fast Kernel Interpolation for Gaussian Processes PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, (Oral, top~3%, 48/1527)
+ Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders PDF
Andrew Drozdov*, Pat Verga*, Mohit Yadav*, Mohit Iyyer, Andrew McCallum
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2019, (Oral, top~9%, 91/1067)
+ Information Bottleneck Inspired Method For Chat Text Segmentation PDF
S Vishal*, Mohit Yadav*, Lovekesh Vig, Gautam Shroff
International Joint Conference on Natural Language Processing (IJCNLP) 2017
+ Siamese Networks for Chromosome Classification PDF
Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig,
Proceedings of the IEEE International Conference on Computer Vision (ICCV) workshop paper, 2017
+ Learning and Knowledge Transfer with Memory Networks for Machine Comprehension PDF
Mohit Yadav, Lovekesh Vig, Gautam Shroff
Annual Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2017
+ Regularization and Learning an Ensemble of RNNs by Decorrelating Representations PDF
Mohit Yadav, Sakshi Agarwal
Workshop on Crowdsourcing, Deep Learning, and Artificial Intelligence Agents at AAAI Conference on Artificial Intelligence, 2017
+ Group delay functions for Speaker Diarization PDF
Mohit Yadav, Anil K Sao, A D Dileep, Padmanabhan Rajan
National conference on communications (NCC), 2016
+ Searching for Logical Patterns in Multi-Sensor Data from the Industrial Internet PDF
Mohit Yadav, Ehtesham Hassan, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan
International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2015
+ ODE - Augmented Training ImprovesAnomaly Detection in Sensor Data from Machines PDF
Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K Sriram, Gautam Shroff
Advances in neural information processing systems (NeurIPS) 2015 - Time Series Workshop
+ Better guiding the guided range image filter for range-image super-resolution PDF
Mohit Yadav, Ram Garg, Arnav Bhavsar
Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), 2014
+ Kernel Interpolation with Sparse Grids PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
Conference on Neural Information Processing Systems (NeurIPS) 2022, (acceptance rate 25.6%)
+ Fast Kernel Interpolation for Gaussian Processes PDF
Mohit Yadav, Daniel Sheldon, Cameron Musco
International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, (Oral, top~3%, 48/1527)
+ Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders PDF
Andrew Drozdov*, Pat Verga*, Mohit Yadav*, Mohit Iyyer, Andrew McCallum
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2019, (Oral, top~9%, 91/1067)
+ Information Bottleneck Inspired Method For Chat Text Segmentation PDF
S Vishal*, Mohit Yadav*, Lovekesh Vig, Gautam Shroff
International Joint Conference on Natural Language Processing (IJCNLP) 2017
+ Siamese Networks for Chromosome Classification PDF
Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig,
Proceedings of the IEEE International Conference on Computer Vision (ICCV) workshop paper, 2017
+ Learning and Knowledge Transfer with Memory Networks for Machine Comprehension PDF
Mohit Yadav, Lovekesh Vig, Gautam Shroff
Annual Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2017
+ Regularization and Learning an Ensemble of RNNs by Decorrelating Representations PDF
Mohit Yadav, Sakshi Agarwal
Workshop on Crowdsourcing, Deep Learning, and Artificial Intelligence Agents at AAAI Conference on Artificial Intelligence, 2017
+ ODE - Augmented Training ImprovesAnomaly Detection in Sensor Data from Machines PDF
Mohit Yadav, Pankaj Malhotra, Lovekesh Vig, K Sriram, Gautam Shroff
Advances in neural information processing systems (NeurIPS) 2015 - Time Series Workshop
+ Group delay functions for Speaker Diarization PDF
Mohit Yadav, Anil K Sao, A D Dileep, Padmanabhan Rajan
National conference on communications (NCC), 2016
+ Searching for Logical Patterns in Multi-Sensor Data from the Industrial Internet PDF
Mohit Yadav, Ehtesham Hassan, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan
International Conference on Pattern Recognition and Machine Intelligence (PReMI), 2015
+ Better guiding the guided range image filter for range-image super-resolution PDF
Mohit Yadav, Ram Garg, Arnav Bhavsar
Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), 2014
Resume
Full Resume in PDF.
-
University of Massachusetts Amherst 2017 - nowResearch Assistant
Advised by Prof. Daniel Sheldon and Prof. Cameron Musco -
Etsy Inc June 2022 - August 2022Research Intern
Advised by Raphael Louca -
Allen Institute for AI (AI2) June 2022 - August 2020Research Intern
Advised by Iz Beltagy -
Amazon Alexa AI May 2018 - August 2018Applied Scientist Intern
Advised by Michael Kayser -
TCS Research Labs 2014 - 2017Research Engineer
Advised by Lovekesh Vig and Gautam Shroff -
Indian Statistical Institute, Kolkata Summer 2013Research Intern
Advised by Sankar K Pal -
Indian Institute of Technology, Mandi 2010 - 2014Bachelor's in Electrical Engineering
Advised by Prof. Anil Sao and Prof. Arnav Bhavsar
Acknowledgement: This website uses the website design and template by Martin Saveski