Publications

Google Scholar Profile
(* denotes equal contribution)

Peer-reviewed Conferences

[1] R. Acharyya, A. Chattoraj*, B. Zhang*, S. Das, and D. Štefankovič. Statistical Mechanical Analysis of Neural Network Pruning. In 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021. URL: https://proceedings.mlr.press/v161/acharyya21a.html.

Journal Articles

[1] B. Zhang , A. Zaman, V. Silenzio, H. Kautz, and E. Hoque.The Relationships of Deteriorating Depression and Anxiety With Longitudinal Behavioral Changes in Google and YouTube Use During COVID-19: Observational Study. JMIR Mental Health, Nov. 2020. IF: 3.54. URL: https://mental.jmir.org/2020/11/e24012.

Workshops and Posters

[1] R. Acharyya, A. Chattoraj*, B. Zhang*, S. Das, and D. Stefankovic.Understanding Diversity Based Neural Network Pruning in Teacher Student Setup. In Neural Compression: From Information Theory to Applications – Workshop @ ICLR 2021, 2021. URL: https://openreview.net/forum?id=Z83rOOb0pN7.

[2] R. Acharyya, B. Zhang , A. Chattoraj, S. Das, and D. Stefankovic.Diversity Based Edge Pruning of Neural Networks Using Determinantal Point Processes. In Neural Compression: From Information Theory to Applications – Workshop @ ICLR 2021, 2021. URL: https://openreview.net/forum?id=rXH8XPsWPZ.

[3] A. Zaman, B. Zhang , V. Silenzio, E. Hoque, and H. Kautz.Individual-level Anxiety Detection and Prediction from Longitudinal YouTube and Google Search Engagement Logs. In 2nd Workshop on Data for the Wellbeing of Most Vulnerable at ICWSM 2021, 2021. URL: https://sites.google.com/view/dataforvulnerable21.

[4] B. Zhang , A. Zaman, R. Acharyya, E. Hoque, V. Silenzio, and H. Kautz.Detecting Individuals with Depressive Disorder from Personal Google Search and YouTube History Logs. In Workshop on Machine Learning in Public Health at NeurIPS 2020, Oct. 2020. Short Paper Lightning Talk. URL: https://arxiv.org/abs/2010.15670.