Search Results for author: Rajat Agarwal

Found 3 papers, 2 papers with code

Multi-Relational Graph Transformer for Automatic Short Answer Grading

1 code implementation NAACL 2022 Rajat Agarwal, Varun Khurana, Karish Grover, Mukesh Mohania, Vikram Goyal

A Graph Transformer is used to prepare relation-specific token embeddings within each subgraph, then aggregated to obtain a subgraph representation.

Sentence

Acrostic Poem Generation

no code implementations EMNLP 2020 Rajat Agarwal, Katharina Kann

We propose a new task in the area of computational creativity: acrostic poem generation in English.

Language Modelling

Dynamics-aware Embeddings

2 code implementations ICLR 2020 William Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta

In this paper we consider self-supervised representation learning to improve sample efficiency in reinforcement learning (RL).

Continuous Control reinforcement-learning +2

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