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05/31/2023
The Impact of Positional Encoding on Length Generalization in Transformers
Length generalization, the ability to generalize from small training con...
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04/21/2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Data collected from the real world tends to be biased, unbalanced, and a...
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12/13/2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
In consequential decision-making applications, mitigating unwanted biase...
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08/13/2022
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
With the prospect of automating a number of chemical tasks with high fid...
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07/08/2022
GT4SD: Generative Toolkit for Scientific Discovery
With the growing availability of data within various scientific domains,...
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08/27/2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
Automatic construction of relevant Knowledge Bases (KBs) from text, and ...
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06/17/2021
Do Large Scale Molecular Language Representations Capture Important Structural Information?
Predicting chemical properties from the structure of a molecule is of gr...
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12/21/2020
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
Image captioning has recently demonstrated impressive progress largely o...
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12/21/2020
Alleviating Noisy Data in Image Captioning with Cooperative Distillation
Image captioning systems have made substantial progress, largely due to ...
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12/08/2020
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Machine Learning has seen tremendous growth recently, which has led to a...
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11/03/2020
Tabular Transformers for Modeling Multivariate Time Series
Tabular datasets are ubiquitous in data science applications. Given thei...
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10/27/2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
In this work, we present a dual learning approach for unsupervised text ...
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05/22/2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
De novo therapeutic design is challenged by a vast chemical repertoire a...
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05/07/2020
Learning Implicit Text Generation via Feature Matching
Generative feature matching network (GFMN) is an approach for training i...
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04/02/2020
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
The recent COVID-19 pandemic has highlighted the need for rapid therapeu...
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10/31/2019
Sobolev Independence Criterion
We propose the Sobolev Independence Criterion (SIC), an interpretable de...
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04/04/2019
Learning Implicit Generative Models by Matching Perceptual Features
Perceptual features (PFs) have been used with great success in tasks suc...
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10/17/2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
Given the emerging global threat of antimicrobial resistance, new method...
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05/20/2018
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
We introduce a new approach to tackle the problem of offensive language ...
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11/26/2017