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05/17/2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
Natural language processing models tend to learn and encode social biase...
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04/16/2022
What If: Generating Code to Answer Simulation Questions
Many texts, especially in chemistry and biology, describe complex proces...
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02/04/2022
Temporal Attention for Language Models
Pretrained language models based on the transformer architecture have sh...
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10/12/2021
Time Masking for Temporal Language Models
Our world is constantly evolving, and so is the content on the web. Cons...
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08/19/2021
EqGNN: Equalized Node Opportunity in Graphs
Graph neural networks (GNNs), has been widely used for supervised learni...
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12/22/2020
Event-Driven Query Expansion
A significant number of event-related queries are issued in Web search. ...
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06/27/2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Generating training examples for supervised tasks is a long sought after...
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09/21/2019
Generating Timelines by Modeling Semantic Change
Though languages can evolve slowly, they can also react strongly to dram...
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05/15/2019
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations
This paper describes the exploration and learnings during the process of...
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03/21/2019
Node Embedding over Temporal Graphs
In this work, we present a method for node embedding in temporal graphs....
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08/08/2018
Learning to Focus when Ranking Answers
One of the main challenges in ranking is embedding the query and documen...
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04/08/2018
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
Designing a new drug is a lengthy and expensive process. As the space of...
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07/25/2017
Learning Word Relatedness over Time
Search systems are often focused on providing relevant results for the "...
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06/28/2017
Named Entity Disambiguation for Noisy Text
We address the task of Named Entity Disambiguation (NED) for noisy text....
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02/04/2014