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Abhishek Agarwal

4 accepted papers

2022

DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model

ICRA 2022poster

Visual servoing enables robotic systems to perform accurate closed-loop control, which is required in many applications. However, existing methods require either precise calibration of the robot kinematic model and cameras or use neural architectures that require large amounts of data to train. In t…

Cited by 2SourceScholar
2022

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

EMNLP 2022finding

Summarizing legal decisions requires the expertise of law practitioners, which is both time- and cost-intensive. This paper presents techniques for extractive summarization of legal decisions in a low-resource setting using limited expert annotated data. We test a set of models that locate relevant…

2019

EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping

ICASSP 2019accepted

Most of the existing question answering models can be largely compiled into two categories: i) open domain question answering models that answer generic questions and use large-scale knowledge base along with the targeted web-corpus retrieval and ii) closed domain question answering models that addr…

Cited by 0SourceScholar
2019

Online Convex Matrix Factorization with Representative Regions

NeurIPS 2019poster

Matrix factorization (MF) is a versatile learning method that has found wide applications in various data-driven disciplines. Still, many MF algorithms do not adequately scale with the size of available datasets and/or lack interpretability. To improve the computational efficiency of the method, an…

Cited by 7SourcePDFScholar