Virtual Presentations and Poster Session
Due to the virtual format of this year’s NewInML Workshop, we are hosting our Q&A through the NewInML Slack. This will allow for authors and attendees in different timezones to participate in Q&A. You can find the Slack signup link in the NewInML schedule on the main conference site. There is one channel for each paper, named “author_X”, where X is the last name of the first author of each paper (e.g. author_agrawal).
Oral Presentations | Links |
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Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid |
Video Poster |
Adversarial Training with a Surrogate Keane Lucas, Alec Jasen, Lujo Bauer |
Video Poster |
Leveraging Kinematic Space for Deep Representation Learning Adarsh Jamadandi and Uma Mudenagudi |
Video Poster |
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana |
Video Poster |
Poster Session | Links |
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Deep Learning Towards Efficient Malaria Dataset Creation Martha Shaka, Frederick Apina, Nyamos Waigama, Halidi Maneno, Said H Said, Emilian Ngatunga, Said Mmaka, Simon Chaula, Imani Sulutya, and Merikiadi Mashaka |
Poster |
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus George Michalopoulos, Yuanxin Wang, Hussam Kaka, Helen Chen, Alex Wong |
Poster |
How to Control the Error Rates of Binary Classifiers Miloš Simić |
Poster |
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics Andrew Hryniowski and Alexander Wong |
Poster |
Large-scale Open Dataset, Pipeline, and Benchmark for Bandit Algorithms Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita |
Poster |
Vulnerability Under Adversarial Machine Learning: Bias or Variance? Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong |
Poster |
Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer Adam Marcus and Paul Agapow |
Poster |