Amanpreet Singh

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NYU college ∙ Stony Brook University

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Human-Adversarial Visual Question Answering

Performance on the most commonly used Visual Question Answering dataset ...
06/04/2021 ∙ by Sasha Sheng, et al. ∙ 5 ∙ share

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TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

A crucial component for the scene text based reasoning required for Text...
05/12/2021 ∙ by Amanpreet Singh, et al. ∙ 17 ∙ share

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Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation

Optimal Mass Transport (OMT) is a well studied problem with a variety of...
04/02/2021 ∙ by Amanpreet Singh, et al. ∙ 15 ∙ share

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Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer

We propose UniT, a Unified Transformer model to simultaneously learn the...
02/22/2021 ∙ by Ronghang Hu, et al. ∙ 44 ∙ share

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Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents

A major challenge in fine-tuning deep learning models for automatic summ...
11/15/2020 ∙ by Amanpreet Singh, et al. ∙ 13 ∙ share

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Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

We introduce a learning-based approach for room navigation using semanti...
07/20/2020 ∙ by Medhini Narasimhan, et al. ∙ 2 ∙ share

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The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

This work proposes a new challenge set for multimodal classification, fo...
05/10/2020 ∙ by Douwe Kiela, et al. ∙ 7 ∙ share

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Are we pretraining it right? Digging deeper into visio-linguistic pretraining

Numerous recent works have proposed pretraining generic visio-linguistic...
04/19/2020 ∙ by Amanpreet Singh, et al. ∙ 1 ∙ share

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TextCaps: a Dataset for Image Captioning with Reading Comprehension

Image descriptions can help visually impaired people to quickly understa...
03/24/2020 ∙ by Oleksii Sidorov, et al. ∙ 0 ∙ share

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Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

Many visual scenes contain text that carries crucial information, and it...
11/14/2019 ∙ by Ronghang Hu, et al. ∙ 22 ∙ share

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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

In the last year, new models and methods for pretraining and transfer le...
05/02/2019 ∙ by Alex Wang, et al. ∙ 4 ∙ share

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Towards VQA Models that can Read

Studies have shown that a dominant class of questions asked by visually ...
04/18/2019 ∙ by Amanpreet Singh, et al. ∙ 12 ∙ share

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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future

In model-based reinforcement learning, the agent interleaves between mod...
03/05/2019 ∙ by Nan Rosemary Ke, et al. ∙ 14 ∙ share

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Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Learning when to communicate and doing that effectively is essential in ...
12/23/2018 ∙ by Amanpreet Singh, et al. ∙ 0 ∙ share

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CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas

We propose a new recurrent generative model for generating images from t...
10/05/2018 ∙ by Amanpreet Singh, et al. ∙ 0 ∙ share

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Neural Network Acceptability Judgments

In this work, we explore the ability of artificial neural networks to ju...
05/31/2018 ∙ by Alex Warstadt, et al. ∙ 0 ∙ share

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Building a Structured Query Engine

Finding patterns in data and being able to retrieve information from tho...
10/02/2017 ∙ by Amanpreet Singh, et al. ∙ 0 ∙ share

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