Amanpreet Singh | DeepAI

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Yoshua Bengio
448 publications
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127 publications
Devi Parikh
115 publications
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109 publications
Matthieu Cord
95 publications
Samuel R. Bowman
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Alexander M. Rush
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Douwe Kiela
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Omer Levy
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∙ 06/28/2023

Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language

We propose LENS, a modular approach for tackling computer vision problem...

0 William Berrios, et al. ∙

∙ 06/21/2023

OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Large multimodal models trained on natural documents, which interleave i...

0 Hugo Laurençon, et al. ∙

∙ 01/24/2023

The Semantic Scholar Open Data Platform

The volume of scientific output is creating an urgent need for automated...

16 Rodney Kinney, et al. ∙

∙ 11/23/2022

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Learned representations of scientific documents can serve as valuable in...

13 Amanpreet Singh, et al. ∙

∙ 08/16/2022

FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs

The vast scale and open-ended nature of knowledge graphs (KGs) make expl...

0 Harmanpreet Kaur, et al. ∙

∙ 07/11/2022

Embedding Recycling for Language Models

Training and inference with large neural models is expensive. However, f...

13 Jon Saad-Falcon, et al. ∙

∙ 04/07/2022

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

We present a novel task and dataset for evaluating the ability of vision...

3 Tristan Thrush, et al. ∙

∙ 03/01/2022

Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment

Vision-and-Language (V+L) pre-training models have achieved tremendous s...

3 Mingyang Zhou, et al. ∙

∙ 12/08/2021

FLAVA: A Foundational Language And Vision Alignment Model

State-of-the-art vision and vision-and-language models rely on large-sca...

2 Amanpreet Singh, et al. ∙

∙ 06/04/2021

Human-Adversarial Visual Question Answering

Performance on the most commonly used Visual Question Answering dataset ...

5 Sasha Sheng, et al. ∙

∙ 05/12/2021

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...

17 Amanpreet Singh, et al. ∙

∙ 04/02/2021

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...

15 Amanpreet Singh, et al. ∙

∙ 02/22/2021

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

We propose UniT, a Unified Transformer model to simultaneously learn the...

44 Ronghang Hu, et al. ∙

∙ 11/15/2020

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

A major challenge in fine-tuning deep learning models for automatic summ...

13 Amanpreet Singh, et al. ∙

∙ 07/20/2020

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

We introduce a learning-based approach for room navigation using semanti...

2 Medhini Narasimhan, et al. ∙

∙ 05/10/2020

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

This work proposes a new challenge set for multimodal classification, fo...

7 Douwe Kiela, et al. ∙

∙ 04/19/2020

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

Numerous recent works have proposed pretraining generic visio-linguistic...

1 Amanpreet Singh, et al. ∙

∙ 03/24/2020

TextCaps: a Dataset for Image Captioning with Reading Comprehension

Image descriptions can help visually impaired people to quickly understa...

0 Oleksii Sidorov, et al. ∙

∙ 11/14/2019

Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

Many visual scenes contain text that carries crucial information, and it...

22 Ronghang Hu, et al. ∙

∙ 05/02/2019

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

In the last year, new models and methods for pretraining and transfer le...

4 Alex Wang, et al. ∙

∙ 04/18/2019

Towards VQA Models that can Read

Studies have shown that a dominant class of questions asked by visually ...

12 Amanpreet Singh, et al. ∙

∙ 03/05/2019

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

In model-based reinforcement learning, the agent interleaves between mod...

14 Nan Rosemary Ke, et al. ∙

∙ 12/23/2018

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

Learning when to communicate and doing that effectively is essential in ...

0 Amanpreet Singh, et al. ∙

∙ 10/05/2018

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...

0 Amanpreet Singh, et al. ∙

∙ 05/31/2018

Neural Network Acceptability Judgments

In this work, we explore the ability of artificial neural networks to ju...

0 Alex Warstadt, et al. ∙

∙ 10/02/2017

Building a Structured Query Engine

Finding patterns in data and being able to retrieve information from tho...

0 Amanpreet Singh, et al. ∙

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