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09/19/2023
O(k)-Equivariant Dimensionality Reduction on Stiefel Manifolds
Many real-world datasets live on high-dimensional Stiefel and Grassmanni...
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05/21/2023
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models
Recent progress in large language models has enabled the deployment of m...
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12/15/2022
Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines
Despite many recent advancements in language modeling, state-of-the-art ...
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10/24/2022
Augmenting Task-Oriented Dialogue Systems with Relation Extraction
The standard task-oriented dialogue pipeline uses intent classification ...
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09/03/2022
Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning
We determine sharp bounds on the price of bandit feedback for several va...
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01/20/2022
Diversifying the Genomic Data Science Research Community
Over the last 20 years, there has been an explosion of genomic data coll...
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09/28/2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Many statistical models have high accuracy on test benchmarks, but are n...
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11/23/2020
Mechanical Search on Shelves using Lateral Access X-RAY
Efficiently finding an occluded object with lateral access arises in man...
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11/23/2020
Balance Regularized Neural Network Models for Causal Effect Estimation
Estimating individual and average treatment effects from observational d...
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04/16/2020
Exactly computing the tail of the Poisson-Binomial Distribution
We offer ShiftConvolvePoibin, a fast exact method to compute the tail of...
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09/04/2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Task-oriented dialog systems need to know when a query falls outside the...
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04/05/2019
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
In a corpus of data, outliers are either errors: mistakes in the data th...
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09/16/2018
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds
The ability to segment unknown objects in depth images has potential to ...
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02/07/2018