Search Results for author: Abhranil Chandra

Found 4 papers, 3 papers with code

DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning

1 code implementation17 Jan 2024 Sabariswaran Mani, Abhranil Chandra, Sreyas Venkataraman, Adyan Rizvi, Yash Sirvi, Soumojit Bhattacharya, Aritra Hazra

The Train-Offline-Test-Online (TOTO) Benchmark provides a well-curated open-source dataset for offline training comprised mostly of expert data and also benchmark scores of the common offline-RL and behaviour cloning agents.

Offline RL Robot Manipulation

Improving Question Answering with Generation of NQ-like Questions

no code implementations12 Oct 2022 Saptarashmi Bandyopadhyay, Shraman Pal, Hao Zou, Abhranil Chandra, Jordan Boyd-Graber

We demonstrate that in a low resource setting, using the generated data improves the QA performance over the baseline system on both NQ and QB data.

Natural Questions Question Answering

Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction

1 code implementation9 Oct 2021 Varun Madhavan, Aditya Girish Pawate, Shraman Pal, Abhranil Chandra

Cognitively inspired Natural Language Pro-cessing uses human-derived behavioral datalike eye-tracking data, which reflect the seman-tic representations of language in the humanbrain to augment the neural nets to solve arange of tasks spanning syntax and semanticswith the aim of teaching machines about lan-guage processing mechanisms.

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