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06/29/2023
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Many recent improvements in NLP stem from the development and use of lar...
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03/23/2023
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
While code-mixing is a common linguistic practice in many parts of the w...
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11/26/2022
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
AlphaZero, an approach to reinforcement learning that couples neural net...
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11/17/2022
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks
At NeurIPS, American and Chinese institutions cite papers from each othe...
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11/01/2022
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Methods for improving the efficiency of deep network training (i.e. the ...
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04/18/2022
Strengthening Subcommunities: Towards Sustainable Growth in AI Research
AI's rapid growth has been felt acutely by scholarly venues, leading to ...
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08/07/2021
TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems
Frameworks have begun to emerge to categorize Virtual, Augmented, and Mi...
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04/01/2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications
Algorithmic fairness has emphasized the role of biased data in automated...
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07/06/2020
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
The observation of sparse trainable sub-networks within over-parametrize...
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06/12/2020
dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration
Many research directions in machine learning, particularly in deep learn...
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12/08/2019
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging
We reproduced the results of CheXNet with fixed hyperparameters and 50 d...
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04/24/2019