68 citations · 102 across the 5 of their papers we have counts for
6 papers
On the Trustworthiness of Tree Ensemble Explainability Methods
Angeline Yasodhara, Azin Asgarian, Diego Huang +1
The recent increase in the deployment of machine learning models in critical domains such as healthcare, criminal justice, and finance has highlighted the need for trustworthy meth…
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint
Zilun Peng, Akshay Budhkar, Ilana Tuil +4
Wav2vec 2.0 is a state-of-the-art speech recognition model which maps speech audio waveforms into latent representations. The largest version of wav2vec 2.0 contains 317 million pa…
Boosting Model Performance through Differentially Private Model Aggregation
Sophia Collet, Robert Dadashi, Zahi N. Karam +4
A key factor in developing high performing machine learning models is the availability of sufficiently large datasets. This work is motivated by applications arising in Software as…
A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang +4
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models…
Stance and Sentiment in Tweets
Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko
We can often detect from a person's utterances whether he/she is in favor of or against a given target entity -- their stance towards the target. However, a person may express the…
Long Short-Term Memory Over Tree Structures
Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo
The chain-structured long short-term memory (LSTM) has showed to be effective in a wide range of problems such as speech recognition and machine translation. In this paper, we prop…