Ankit Gupta | DeepAI

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∙ 06/26/2023

Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields

Template matching is a fundamental problem in computer vision and has ap...

0 Ankit Gupta, et al. ∙

∙ 05/05/2023

Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments

The full deployment of autonomous driving systems on a worldwide scale r...

0 Ivo Batkovic, et al. ∙

∙ 02/27/2023

Diagonal State Space Augmented Transformers for Speech Recognition

We improve on the popular conformer architecture by replacing the depthw...

0 George Saon, et al. ∙

∙ 12/01/2022

Simplifying and Understanding State Space Models with Diagonal Linear RNNs

Sequence models based on linear state spaces (SSMs) have recently emerge...

0 Ankit Gupta, et al. ∙

∙ 10/20/2022

Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks

Attention Branch Networks (ABNs) have been shown to simultaneously provi...

0 Ankit Gupta, et al. ∙

∙ 09/06/2022

Analyzing Transformers in Embedding Space

Understanding Transformer-based models has attracted significant attenti...

10 Guy Dar, et al. ∙

∙ 06/27/2022

Long Range Language Modeling via Gated State Spaces

State space models have shown to be effective at modeling long range dep...

0 Harsh Mehta, et al. ∙

∙ 06/23/2022

On the Parameterization and Initialization of Diagonal State Space Models

State space models (SSM) have recently been shown to be very effective a...

4 Albert Gu, et al. ∙

∙ 03/27/2022

Diagonal State Spaces are as Effective as Structured State Spaces

Modeling long range dependencies in sequential data is a fundamental ste...

0 Ankit Gupta, et al. ∙

∙ 02/10/2022

Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurements

Large bandwidth at mm-wave is crucial for 5G and beyond but the high pat...

0 Ankit Gupta, et al. ∙

∙ 01/10/2022

SCROLLS: Standardized CompaRison Over Long Language Sequences

NLP benchmarks have largely focused on short texts, such as sentences an...

0 Uri Shaham, et al. ∙

∙ 06/13/2021

Memory-efficient Transformers via Top-k Attention

Following the success of dot-product attention in Transformers, numerous...

0 Ankit Gupta, et al. ∙

∙ 03/17/2021

Value-aware Approximate Attention

Following the success of dot-product attention in Transformers, numerous...

0 Ankit Gupta, et al. ∙

∙ 08/26/2020

Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks

We consider the problem of estimating the dynamic latent states of an in...

0 Zhou Fang, et al. ∙

∙ 07/06/2020

DART: Open-Domain Structured Data Record to Text Generation

We introduce DART, a large dataset for open-domain structured data recor...

0 Dragomir Radev, et al. ∙

∙ 06/05/2020

GMAT: Global Memory Augmentation for Transformers

Transformer-based models have become ubiquitous in natural language proc...

8 Jonathan Berant, et al. ∙

∙ 04/09/2020

Injecting Numerical Reasoning Skills into Language Models

Large pre-trained language models (LMs) are known to encode substantial ...

0 Mor Geva, et al. ∙

∙ 01/31/2020

Break It Down: A Question Understanding Benchmark

Understanding natural language questions entails the ability to break do...

0 Tomer Wolfson, et al. ∙

∙ 07/24/2019

HeartFit: An Accurate Platform for Heart Murmur Diagnosis Utilizing Deep Learning

Cardiovascular disease (CD) is the number one leading cause of death wor...

0 George Tang, et al. ∙

∙ 07/23/2019

CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection

As machine learning and cybersecurity continue to explode in the context...

0 Ayush Hariharan, et al. ∙

∙ 07/18/2019

User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features

Traditional machine learning based intelligent systems assist users by l...

0 Kartik Chugh, et al. ∙

∙ 07/17/2019

AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks

According to the United Nations World Water Assessment Programme, every ...

0 Elliott Ruebush, et al. ∙

∙ 07/09/2019

StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision

According to the WHO, Cerebrovascular Stroke, or CS, is the second large...

8 Ankit Gupta, et al. ∙

∙ 10/03/2017

Dilated Convolutions for Modeling Long-Distance Genomic Dependencies

We consider the task of detecting regulatory elements in the human genom...

0 Alexander M. Rush, et al. ∙

∙ 03/23/2015

A Comparative Analysis of Tensor Decomposition Models Using Hyper Spectral Image

Hyper spectral imaging is a remote sensing technology, providing variety...

0 Ashish Oberoi, et al. ∙

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