Dinesh Garg | DeepAI

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∙ 05/23/2023

Image Manipulation via Multi-Hop Instructions – A New Dataset and Weakly-Supervised Neuro-Symbolic Approach

We are interested in image manipulation via natural language text – a ta...

0 Harman Singh, et al. ∙

∙ 01/15/2022

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

Knowledge Base Question Answering (KBQA) tasks that involve complex reas...

1 Sumit Neelam, et al. ∙

∙ 01/14/2022

Towards a Semantic Information Theory (Introducing Quantum Corollas)

The field of Information Theory is founded on Claude Shannon's seminal i...

0 Philip Tetlow, et al. ∙

∙ 09/28/2021

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases

Knowledge Base Question Answering (KBQA) tasks that in-volve complex rea...

4 Sumit Neelam, et al. ∙

∙ 09/06/2021

Knowledge Graph Question Answering via SPARQL Silhouette Generation

Knowledge Graph Question Answering (KGQA) has become a prominent area in...

0 Sukannya Purkayastha, et al. ∙

∙ 12/03/2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning

Knowledge base question answering (KBQA) is an important task in Natural...

3 Pavan Kapanipathi, et al. ∙

∙ 11/08/2019

The TechQA Dataset

We introduce TechQA, a domain-adaptation question answering dataset for ...

0 Vittorio Castelli, et al. ∙

∙ 09/09/2019

Span Selection Pre-training for Question Answering

BERT (Bidirectional Encoder Representations from Transformers) and relat...

0 Michael Glaß, et al. ∙

∙ 09/20/2018

Deep Domain Adaptation under Deep Label Scarcity

The goal behind Domain Adaptation (DA) is to leverage the labeled exampl...

0 Amar Prakash Azad, et al. ∙

∙ 11/30/2017

Improved Linear Embeddings via Lagrange Duality

Near isometric orthogonal embeddings to lower dimensions are a fundament...

0 Kshiteej Sheth, et al. ∙

∙ 12/27/2016

A Sparse Nonlinear Classifier Design Using AUC Optimization

AUC (Area under the ROC curve) is an important performance measure for a...

0 Vishal Kakkar, et al. ∙

∙ 01/25/2016

A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds

We study the problem of training an accurate linear regression model by ...

0 Divya Padmanabhan, et al. ∙

∙ 10/16/2012

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators

We consider the problem of Probably Approximate Correct (PAC) learning o...

0 Dinesh Garg, et al. ∙

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