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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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11/18/2022
Knowledge Graph Generation From Text
In this work we propose a novel end-to-end multi-stage Knowledge Graph (...
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10/05/2022
AlphaFold Distillation for Improved Inverse Protein Folding
Inverse protein folding, i.e., designing sequences that fold into a give...
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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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11/12/2021
Benchmarking deep generative models for diverse antibody sequence design
Computational protein design, i.e. inferring novel and diverse protein s...
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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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06/24/2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Designing novel protein sequences for a desired 3D topological fold is a...
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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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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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09/05/2020
Optimizing Mode Connectivity via Neuron Alignment
The loss landscapes of deep neural networks are not well understood due ...
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02/13/2019
Wasserstein Barycenter Model Ensembling
In this paper we propose to perform model ensembling in a multiclass or ...
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10/12/2018
Estimating Information Flow in Neural Networks
We study the flow of information and the evolution of internal represent...
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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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04/30/2018
Improved Image Captioning with Adversarial Semantic Alignment
In this paper we propose a new conditional GAN for image captioning that...
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02/22/2018
Deep learning algorithm for data-driven simulation of noisy dynamical system
We present a deep learning model, DE-LSTM, for the simulation of a stoch...
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11/26/2017
Improved Neural Text Attribute Transfer with Non-parallel Data
Text attribute transfer using non-parallel data requires methods that ca...
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09/10/2017
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting
Multivariate time-series modeling and forecasting is an important proble...
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08/01/2017
SenGen: Sentence Generating Neural Variational Topic Model
We present a new topic model that generates documents by sampling a topi...
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02/21/2016
Estimating Structured Vector Autoregressive Model
While considerable advances have been made in estimating high-dimensiona...
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02/21/2016
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems
In this work we consider the problem of anomaly detection in heterogeneo...
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07/12/2014