Search Results for author: Samarth Bharadwaj

Found 13 papers, 7 papers with code

Multi-Row, Multi-Span Distant Supervision For Table+Text Question

no code implementations14 Dec 2021 Vishwajeet Kumar, Yash Gupta, Saneem Chemmengath, Jaydeep Sen, Soumen Chakrabarti, Samarth Bharadwaj, Feifei Pan

Question answering (QA) over tables and linked text, also called TextTableQA, has witnessed significant research in recent years, as tables are often found embedded in documents along with related text.

Question Answering Reading Comprehension

Topic Transferable Table Question Answering

1 code implementation EMNLP 2021 Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan

Weakly-supervised table question-answering(TableQA) models have achieved state-of-art performance by using pre-trained BERT transformer to jointly encoding a question and a table to produce structured query for the question.

Question Answering Question Generation +1

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables

1 code implementation NAACL 2021 Michael Glass, Mustafa Canim, Alfio Gliozzo, Saneem Chemmengath, Vishwajeet Kumar, Rishav Chakravarti, Avi Sil, Feifei Pan, Samarth Bharadwaj, Nicolas Rodolfo Fauceglia

While this model yields extremely high accuracy at finding cell values on recent benchmarks, a second model we propose, called RCI representation, provides a significant efficiency advantage for online QA systems over tables by materializing embeddings for existing tables.

Question Answering

Addressing target shift in zero-shot learning using grouped adversarial learning

1 code implementation2 Mar 2020 Saneem Ahmed Chemmengath, Soumava Paul, Samarth Bharadwaj, Suranjana Samanta, Karthik Sankaranarayanan

Zero-shot learning (ZSL) algorithms typically work by exploiting attribute correlations to be able to make predictions in unseen classes.

Zero-Shot Learning


no code implementations ICLR 2019 Saneem Ahmed Chemmengath, Samarth Bharadwaj, Suranjana Samanta, Karthik Sankaranarayanan

An unintended consequence of feature sharing is the model fitting to correlated tasks within the dataset, termed negative transfer.

Domain Adaptation

A deep learning approach to solar-irradiance forecasting in sky-videos

no code implementations15 Jan 2019 Talha A. Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman

Ahead-of-time forecasting of incident solar-irradiance on a panel is indicative of expected energy yield and is essential for efficient grid distribution and planning.

Solar Irradiance Forecasting

Future semantic segmentation of time-lapsed videos with large temporal displacement

no code implementations27 Dec 2018 Talha Siddiqui, Samarth Bharadwaj

An important aspect of video understanding is the ability to predict the evolution of its content in the future.

Semantic Segmentation Video Understanding

Cannot find the paper you are looking for? You can Submit a new open access paper.