I’m a grad student at New York University and a member of CILVR Group. My research interest lies in deep reinforcment learning, unsupervised learning and natural language understanding.
Prior to NYU, I completed my bachelors at IIT, Mandi during which I also spent an year at Technical University, Munich (TUM).
Projects & Publications
Crosslingual Transfer for Inflection Generation
Tushar Jain, Katharina Kann
Research on morphological generation in low resource cross-lingual settings. WIP
Tushar Jain, Shubham Chandel, Mikael Henaff, Yann LeCun
Using model-based reinforcement learning in text-based games. WIP
Rajat Agarwal, Tushar Jain, Kumar Mehta
Survey research project on question generation via machine comprehension and achieved SOTA results for the task using attention with seq-to-seq with beam search.
Generative Adversarial Imitation Learning
Under Prof. Rob Fergus
Research on imitation learning using generative model. Designed a novel method for using GANs as environment simulator for model-based Reinforcement Learning.
Genomics Trait & Disease Prediction
Under Prof. Lawrence Sirovich
Research on genomics data (GWAS), where #input-features #training-examples, making it difficult to avoid overfitting, for disease prediction on SNPs.
- Biometric Data Synthesis Using GAN
Under Prof. Aditya Nigam
Research on using multiple generators and discriminators to speed-up GAN training. Multiple discriminators with varying architecture provided empirical speedup during training time.