413 citations · 3.1k across the 143 of their papers we have counts for
11 papers · 1 filter
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks
Raphael Tang, Gefei Yang, Hong Wei +3
Voice-enabled commercial products are ubiquitous, typically enabled by lightweight on-device keyword spotting (KWS) and full automatic speech recognition (ASR) in the cloud. ASR sy…
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
Raphael Tang, Ashutosh Adhikari, Jimmy Lin
There exists a plethora of techniques for inducing structured sparsity in parametric models during the optimization process, with the final goal of resource-efficient inference. Ho…
Progress and Tradeoffs in Neural Language Models
Raphael Tang, Jimmy Lin
In recent years, we have witnessed a dramatic shift towards techniques driven by neural networks for a variety of NLP tasks. Undoubtedly, neural language models (NLMs) have reduced…
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts
Peng Shi, Jinfeng Rao, Jimmy Lin
This paper explores the problem of ranking short social media posts with respect to user queries using neural networks. Instead of starting with a complex architecture, we proceed…
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis
Jaejun Lee, Raphael Tang, Jimmy Lin
Used for simple commands recognition on devices from smart routers to mobile phones, keyword spotting systems are everywhere. Ubiquitous as well are web applications, which have gr…
Adaptive Pruning of Neural Language Models for Mobile Devices
Raphael Tang, Jimmy Lin
Neural language models (NLMs) exist in an accuracy-efficiency tradeoff space where better perplexity typically comes at the cost of greater computation complexity. In a software ke…