Search Results for author:
Found 5 papers, 3 papers with code
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Despite recent advances, evaluating how well large language models (LLMs) follow user instructions remains an open problem.
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction
We present a novel multi-modal unspoken punctuation prediction system for the English language which combines acoustic and text features.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Mixed-curvature Variational Autoencoders
Euclidean geometry has historically been the typical "workhorse" for machine learning applications due to its power and simplicity.
Adversarial Augmentation for Enhancing Classification of Mammography Images
Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging.
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks
At the higher resolution, all radiologists showed significantly lower detection rate of cancer in the modified images (0. 77-0. 84 vs. 0. 59-0. 69, p=0. 008), however, they were now able to reliably detect modified images due to better visibility of artifacts (0. 92, 0. 92 and 0. 97).
