Search Results for author:
Found 4 papers, 2 papers with code
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
A weighted hybrid score that combines uncertainty and diversity is then used to select the top instances for annotation in each AL iteration.
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
Self-supervised speech recognition models require considerable labeled training data for learning high-fidelity representations for Automatic Speech Recognition (ASR) which is computationally demanding and time-consuming.
RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds
We also compare the memory efficiency of our algorithm with the standard single pass clustering approach, and demonstrate the appropriateness of our algorithm for event detection and tracking task in large news feeds.
COVID-19 Tweets Analysis through Transformer Language Models
Understanding the public sentiment and perception in a healthcare crisis is essential for developing appropriate crisis management techniques.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
