Search Results for author:
Found 9 papers, 7 papers with code
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
In this paper, we propose an INductive knowledge GRAph eMbedding method, InGram, that can generate embeddings of new relations as well as new entities at inference time.
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
By learning compact representations of triplets and qualifiers and feeding them into the transformers, we reduce the computation cost of using transformers.
Howl: A Deployed, Open-Source Wake Word Detection System
We describe Howl, an open-source wake word detection toolkit with native support for open speech datasets, like Mozilla Common Voice and Google Speech Commands.
Ranked #4 on
Keyword Spotting
on Google Speech Commands
Showing Your Work Doesn't Always Work
In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks.
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Large-scale pre-trained language models such as BERT have brought significant improvements to NLP applications.
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
We show that only a fourth of the final layers need to be fine-tuned to achieve 90% of the original quality.
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting
Used for simple commands recognition on devices from smart speakers to mobile phones, keyword spotting systems are everywhere.
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis
Overall, our robust, cross-device implementation for keyword spotting realizes a new paradigm for serving neural network applications, and one of our slim models reduces latency by 66% with a minimal decrease in accuracy of 4% from 94% to 90%.
Fuzzy and entropy facial recognition
This paper suggests an effective method for facial recognition using fuzzy theory and Shannon entropy.
