From the 1 of 51 linked papers with an AI index.
2.2k citations · 7.8k across the 48 of their papers we have counts for
8 papers · 1 filter
Multimodal Deep Learning
Cem Akkus, Luyang Chu, Vladana Djakovic +14
This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art ap…
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Akshay Smit, Saahil Jain, Pranav Rajpurkar +3
The extraction of labels from radiology text reports enables large-scale training of medical imaging models. Existing approaches to report labeling typically rely either on sophist…
Neural Language Correction with Character-Based Attention
Ziang Xie, Anand Avati, Naveen Arivazhagan +2
Natural language correction has the potential to help language learners improve their writing skills. While approaches with separate classifiers for different error types have high…
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei, Rishita Anubhai, Eric Battenberg +31
We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Because it replaces entire pip…
Deep Speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper +8
We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional speech systems, which r…
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky +1
We present a method to perform first-pass large vocabulary continuous speech recognition using only a neural network and language model. Deep neural network acoustic models are now…