Concept

OpenAI

Publications associées (54)

Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric

Philip Neil Garner, Claudiu-Cristian Musat

We experiment with subword segmentation approaches that are widely used to address the open vocabulary problem in the context of end-to-end automatic speech recognition (ASR). For morphologically rich languages such as German which has many rare words main ...

2020

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

James Henderson

Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but also across different languages. Current unsupervised adversarial approaches ...

Association for Computational Linguistics2019

CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning

Jérôme Henri Kämpf

Demand response has the potential of reducing peaks of electricity demand by about 20% in the US, where buildings represent roughly 70% of the total electricity demand. Buildings are dynamic systems in constant change (i.e. occupants' behavior, refurbishme ...

ACM2019

Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

Tobias Kober, Jonas Richiardi

Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a bri ...

THIEME MEDICAL PUBL INC2019

A Domain-Adaptive Two-Stream U-Net for Electron Microscopy Image Segmentation

Pascal Fua, Mathieu Salzmann, Pablo Marquez Neila, Róger Bermúdez Chacón

Deep networks such as the U-Net are outstanding at segmenting biomedical images when enough training data is available, but only then. Here we introduce a Domain Adaptation approach that relies on two coupled U-Nets that either regularize or share correspo ...

2018

A Domain-Adaptive Two-Stream U-Net For Electron Microscopy Image Segmentation

Pascal Fua, Mathieu Salzmann, Pablo Marquez Neila

IEEE2018

PriBots: Conversational Privacy with Chatbots

Karl Aberer, Hamza Harkous, Kassem Fawaz

Traditional mechanisms for delivering notice and enabling choice have so far failed to protect users’ privacy. Users are continuously frustrated by complex privacy policies, unreachable privacy settings, and a multitude of emerging standards. The miniaturi ...

2016

CAMEA: Guide Report

This document describes the best current candidate for a CAMEA guide made by the optimizer guide bot. The guide bot tool generates the McStas instrument and iFit files necessary for guide optimization, making it easy to investigate a large number of possib ...

2014

A Fault-Tolerant Token-Based Atomic Broadcast Algorithm

André Schiper, Nils Richard Ekwall

Many atomic broadcast algorithms have been published in the last 20 years. Token-based algorithms represent a large class of these algorithms. Interestingly, all the token-based atomic broadcast algorithms rely on a group membership service and none of the ...

2011

A Fault-Tolerant Token based Atomic Broadcast Algorithm

André Schiper, Nils Richard Ekwall

Many atomic broadcast algorithms have been published in the last twenty years. Token based algorithms represent a large class of these algorithms. Interestingly, all the token based atomic broadcast algorithms rely on a group membership service and none of ...

2010

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