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Jan 29, 2021
Computer Vision
Machine Learning

General-Purpose OCR Paragraph Identification by Graph Convolution N…

Paragraphs are an important class of document entities. We propose a new approach for paragraph identification by spatial graph convolution networks …
Jan 29, 2021
Cryptography and Security
Computation and Language

N-grams Bayesian Differential Privacy

Differential privacy has gained popularity in machine learning as a strong privacy guarantee, in contrast to privacy mitigation techniques such as k-…
Jan 29, 2021
Cryptography and Security
Computation and Language

N-grams Bayesian Differential Privacy

Differential privacy has gained popularity in machine learning as a strong privacy guarantee, in contrast to privacy mitigation techniques such as k-…
Jan 29, 2021
Audio and Speech Processing
Computation and Language

In this paper we proposed a SE model adapted to the task of WUW in voice assistants for the home environment. The SE model is a fully-convolutional denoising auto-encoder at waveform level and it is trained using a log-Mel Spectrogram and waveform r…

Speech Enhancement for Wake-Up-Word detection in Voice Assistants

Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants. A very common issue of voice assistant…
Jan 29, 2021
Audio and Speech Processing
Computation and Language

In this paper we proposed a SE model adapted to the task of WUW in voice assistants for the home environment. The SE model is a fully-convolutional denoising auto-encoder at waveform level and it is trained using a log-Mel Spectrogram and waveform r…

Speech Enhancement for Wake-Up-Word detection in Voice Assistants

Keyword spotting and in particular Wake-Up-Word (WUW) detection is a very important task for voice assistants. A very common issue of voice assistant…
Jan 29, 2021
Audio and Speech Processing
Computation and Language

BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge

This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge…
Jan 29, 2021
Audio and Speech Processing
Computation and Language

BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge

This paper describes joint effort of BUT and Telef\'onica Research on development of Automatic Speech Recognition systems for Albayzin 2020 Challenge…
Jan 29, 2021
Computer Vision
Machine Learning

Surprisingly Simple Semi-Supervised Domain Adaptation with Pretrainin…

Visual domain adaptation involves learning to classify images from a target visual domain using labels available in a different source domain. A rang…
Jan 29, 2021
Computer Vision
Machine Learning

Surprisingly Simple Semi-Supervised Domain Adaptation with Pretrainin…

Visual domain adaptation involves learning to classify images from a target visual domain using labels available in a different source domain. A rang…
Jan 29, 2021
Machine Learning
Artificial Intelligence
Robotics

Predicting Nanorobot Shapes via Generative Models

The field of DNA nanotechnology has made it possible to assemble, with high yields, different structures that have actionable properties. For example…
Jan 29, 2021
Machine Learning
Artificial Intelligence
Robotics

Predicting Nanorobot Shapes via Generative Models

The field of DNA nanotechnology has made it possible to assemble, with high yields, different structures that have actionable properties. For example…
Jan 29, 2021
Human-Computer Interaction

Disparate Impact Diminishes Consumer Trust Even for Advantaged Users

Systems aiming to aid consumers in their decision-making (e.g., by implementing persuasive techniques) are more likely to be effective when consumers…
Jan 29, 2021
Human-Computer Interaction

Disparate Impact Diminishes Consumer Trust Even for Advantaged Users

Systems aiming to aid consumers in their decision-making (e.g., by implementing persuasive techniques) are more likely to be effective when consumers…
Jan 29, 2021
Optimization and Control
Machine Learning

Between steps: Intermediate relaxations between big-M and convex hull…

This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing advantages from both. The propos…
Jan 29, 2021
Optimization and Control
Machine Learning

Between steps: Intermediate relaxations between big-M and convex hull…

This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing advantages from both. The propos…
Jan 29, 2021
Information Theory
Machine Learning
Networking and Internet Architecture
Signal Processing

Federated Learning over Wireless Device-to-Device Networks: Algorithm…

The proliferation of Internet-of-Things (IoT) devices and cloud-computing applications over siloed data centers is motivating renewed interest in the…
Jan 29, 2021
Information Theory
Machine Learning
Networking and Internet Architecture
Signal Processing

Federated Learning over Wireless Device-to-Device Networks: Algorithm…

The proliferation of Internet-of-Things (IoT) devices and cloud-computing applications over siloed data centers is motivating renewed interest in the…
Jan 29, 2021
Emerging Technologies
Materials Science
Hardware Architecture
Machine Learning
Neural and Evolutionary Computation

Reservoir Computing with Thin-film Ferromagnetic Devices

Advances in artificial intelligence are driven by technologies inspired by the brain, but these technologies are orders of magnitude less powerful an…
Jan 29, 2021
Machine Learning
Computer Vision
Optimization and Control

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural N…

In this paper, we introduce the Layer-Peeled Model, a nonconvex yet analytically tractable optimization program, in a quest to better understand deep…
Jan 29, 2021
Machine Learning
Computer Vision
Optimization and Control

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural N…

In this paper, we introduce the Layer-Peeled Model, a nonconvex yet analytically tractable optimization program, in a quest to better understand deep…
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