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05/11/2023
Probabilistic Group Testing in Distributed Computing with Attacked Workers
The problem of distributed matrix-vector product is considered, where th...
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02/04/2023
How Many and Which Training Points Would Need to be Removed to Flip this Prediction?
We consider the problem of identifying a minimal subset of training data...
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10/25/2022
Influence Functions for Sequence Tagging Models
Many language tasks (e.g., Named Entity Recognition, Part-of-Speech tagg...
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09/11/2021
Modular Self-Supervision for Document-Level Relation Extraction
Extracting relations across large text spans has been relatively underex...
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07/01/2021
Combining Feature and Instance Attribution to Detect Artifacts
Training the large deep neural networks that dominate NLP requires large...
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05/07/2021
When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks?
This paper considers a diamond network with interconnected relays, name...
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04/15/2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Large Transformers pretrained over clinical notes from Electronic Health...
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04/09/2021
An Empirical Comparison of Instance Attribution Methods for NLP
Widespread adoption of deep models has motivated a pressing need for app...
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05/01/2020
SciREX: A Challenge Dataset for Document-Level Information Extraction
Extracting information from full documents is an important problem in ma...
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04/30/2020
Learning to Faithfully Rationalize by Construction
In many settings it is important for one to be able to understand why a ...
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01/09/2020
Best Relay Selection in Gaussian Half-Duplex Diamond Networks
This paper considers Gaussian half-duplex diamond n-relay networks, wher...
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11/08/2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models
State-of-the-art models in NLP are now predominantly based on deep neura...
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09/17/2019
Extracting evidence of supplement-drug interactions from literature
Dietary supplements are used by a large portion of the population, but i...
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06/28/2019
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
Hypertension is a major risk factor for stroke, cardiovascular disease, ...
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04/05/2019
An Analysis of Attention over Clinical Notes for Predictive Tasks
The shift to electronic medical records (EMRs) has engendered research i...
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02/26/2019
Attention is not Explanation
Attention mechanisms have seen wide adoption in neural NLP models. In ad...
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04/19/2018
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
We propose a method for learning disentangled sets of vector representat...
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04/06/2018