Conferences & Workshops

Women in Machine Learning (WiML) Workshop, Conference on Neural Information Processing Systems (NeurIPS), 2019

The following abstract was accepted to the Women in Machine Learning (WiML) Workshop, held with Conference on Neural Information Processing Systems (NeurIPS). Awarded a full travel grant to present my poster at the workshop in Vancouver, Canada in December, 2019. Read more about it here.

WiML '19 Poster.pdf

Asmita Poddar, Mong-Li Lee, Wynne Hsu; Unsupervised Clinical Named Entity Recognition for Electronic Health Records, 14th Women in Machine Learning Workshop (WiML), NeurIPS, Vancouver, Canada, 2019.

Eastern European Machine Learning (EEML) Summer School, 2019

Selected as one of the 160 participants (out of 700+ applicants from 70+ countries) to attend the EEML Summer School on Deep Learning and Reinforcement Learning held in Bucharest, Romania from 1-6 July 2019. Also awarded a full travel grant to attend the same. Received Special Mention for my contribution (GitHub) to the Data Analysis track of the Kaggle Competition on Artificial Intelligence for Social Good.

Women in Machine Learning (WiML) Workshop, Conference on Neural Information Processing Systems (NeurIPS), 2018

The following abstracts were accepted to the Women in Machine Learning (WiML) Workshop, co-located with Conference on Neural Information Processing Systems (NeurIPS). Awarded a full travel grant to present the posters at the workshop in Montreal, Canada in December, 2018.

Poster_NUS_Asmita.pdf

Asmita Poddar, Zhan Wei Lim, Mong-Li Lee, Wynne Hsu; A Study of Uncertainty Measures for Neural Networks, 13th Women in Machine Learning Workshop (WiML), NeurIPS, Montreal, Canada, 2018.

Poster_INRIA_Asmita.pdf

Asmita Poddar, Florent Latimier, Serge Iovleff; Estimation of Parsimonious Covariance Models for Gaussian Matrix Valued Random Variables for Multi-Dimensional Spectroscopic Data, 13th Women in Machine Learning Workshop (WiML), NeurIPS, Montreal, Canada, 2018.

Sound & Music Computing Conference, 2018

Paper on ' #nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems' was accepted to the Sound & Music Computing Conference. Gave an oral presentation at the conference held in Limassol, Cyprus in July, 2018. Paper, presentation and poster can be found below.

Asmita Poddar, Eva Zangerle, Yi-Hsuan Yang; #nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems, Proceedings of the 15th Sound & Music Computing Conference, Limassol, Cyprus, 2018.