Hi. I'm Trapit.
A second year PhD student with Prof. Andrew McCallum at UMass. I am broadly interested in machine learning applied to text data and recommendation systems.
Learn more about what I doA second year PhD student with Prof. Andrew McCallum at UMass. I am broadly interested in machine learning applied to text data and recommendation systems.
Learn more about what I doI am a second year PhD student in IESL working with Prof. Andrew McCallum. My current research is on semi-supervised Deep Learning methods for language understanding tasks. Broadly, I am interested in developing novel machine learning methods for NLP and Recommendation Systems.
Check out some of my publications and try out some of the related codes.
I had a great time interning at Facebook in the Applied Machine Learning group, in Summer 2016, where I worked on deep learning models for some NLP tasks.
After graduation and before starting my PhD, I worked with with Prof. Ravi Kannan and Prof. Chiranjib Bhattacharyya at Indian Institute of Science, on Topic Models, Bayesian nonparametrics and approximate inference in probabilistic models.
Supervised: , , SVM, , Naive Bayes, kNN, , Bayesian Models
Unsupervised: Autoencoders, Word Embeddings, , , , PCA, Probabilistic Graphical Models
: , , , ,
Libraries: Theano, Lasagne, Numpy, Scipy, Scikit-Learn, Pandas, Gensim, ggPlot2, GSL
Click the titles for more information about the work and to download paper/supplementary/code/data.
Best way is to email me at "trapitbansal at gmail dot com" and I'll get back to you.