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09/07/2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
Advances in Semi-Supervised Learning (SSL) have almost entirely closed t...
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08/16/2023
ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming
Building on Papert (1980)'s idea of children talking to computers, we pr...
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07/09/2021
REX: Revisiting Budgeted Training with an Improved Schedule
Deep learning practitioners often operate on a computational and monetar...
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07/02/2021
Mitigating deep double descent by concatenating inputs
The double descent curve is one of the most intriguing properties of dee...
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01/16/2021
Transformer-Based Models for Question Answering on COVID19
In response to the Kaggle's COVID-19 Open Research Dataset (CORD-19) cha...
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11/25/2020
ImCLR: Implicit Contrastive Learning for Image Classification
Contrastive learning is an effective method for learning visual represen...
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11/19/2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
Clinical machine learning is increasingly multimodal, collected in both ...
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06/25/2020
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge
Empirical risk minimization is perhaps the most influential idea in stat...
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11/12/2019
Negative sampling in semi-supervised learning
We introduce Negative Sampling in Semi-Supervised Learning (NS3L), a sim...
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10/11/2019
Decaying momentum helps neural network training
Momentum is a simple and popular technique in deep learning for gradient...
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08/23/2019
Revisiting Consistent Hashing with Bounded Loads
Dynamic load balancing lies at the heart of distributed caching. Here, t...
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05/11/2018