2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.AS2023
2-bit Conformer quantization for automatic speech recognition
Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding +4
Large speech models are rapidly gaining traction in research community. As a result, model compression has become an important topic, so that these models can fit in memory and be…
eess.AS2023★ 2 cited
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models
David Qiu, David Rim, Shaojin Ding +2
With the rapid increase in the size of neural networks, model compression has become an important area of research. Quantization is an effective technique at decreasing the model s…
cs.CV2015
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression
David Rim, Sina Honari, Md Kamrul Hasan +1
We present techniques for improving performance driven facial animation, emotion recognition, and facial key-point or landmark prediction using learned identity invariant represent…