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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...
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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...
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02/27/2023
Diagonal State Space Augmented Transformers for Speech Recognition
We improve on the popular conformer architecture by replacing the depthw...
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12/01/2022
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Sequence models based on linear state spaces (SSMs) have recently emerge...
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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...
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09/06/2022
Analyzing Transformers in Embedding Space
Understanding Transformer-based models has attracted significant attenti...
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06/27/2022
Long Range Language Modeling via Gated State Spaces
State space models have shown to be effective at modeling long range dep...
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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...
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03/27/2022
Diagonal State Spaces are as Effective as Structured State Spaces
Modeling long range dependencies in sequential data is a fundamental ste...
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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...
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01/10/2022
SCROLLS: Standardized CompaRison Over Long Language Sequences
NLP benchmarks have largely focused on short texts, such as sentences an...
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06/13/2021
Memory-efficient Transformers via Top-k Attention
Following the success of dot-product attention in Transformers, numerous...
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03/17/2021
Value-aware Approximate Attention
Following the success of dot-product attention in Transformers, numerous...
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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...
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07/06/2020
DART: Open-Domain Structured Data Record to Text Generation
We introduce DART, a large dataset for open-domain structured data recor...
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06/05/2020
GMAT: Global Memory Augmentation for Transformers
Transformer-based models have become ubiquitous in natural language proc...
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04/09/2020
Injecting Numerical Reasoning Skills into Language Models
Large pre-trained language models (LMs) are known to encode substantial ...
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01/31/2020
Break It Down: A Question Understanding Benchmark
Understanding natural language questions entails the ability to break do...
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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...
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07/23/2019
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
As machine learning and cybersecurity continue to explode in the context...
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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...
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07/17/2019
AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks
According to the United Nations World Water Assessment Programme, every ...
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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...
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10/03/2017
Dilated Convolutions for Modeling Long-Distance Genomic Dependencies
We consider the task of detecting regulatory elements in the human genom...
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03/23/2015