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01/19/2021
The Next Decade of Telecommunications Artificial Intelligence
It has been an exciting journey since the mobile communications and arti...
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11/25/2020
Learnability and Positive Equivalence Relations
Prior work of Gavryushkin, Khoussainov, Jain and Stephan investigated wh...
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09/30/2020
Rethinking Attention with Performers
We introduce Performers, Transformer architectures which can estimate re...
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06/05/2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Transformer models have achieved state-of-the-art results across a diver...
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06/05/2020
Population-Based Black-Box Optimization for Biological Sequence Design
The use of black-box optimization for the design of new biological seque...
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08/19/2019
Boundless: Generative Adversarial Networks for Image Extension
Image extension models have broad applications in image editing, computa...
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11/21/2018
Predicting Electron-Ionization Mass Spectrometry using Neural Networks
When confronted with a substance of unknown identity, researchers often ...
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02/23/2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Permutations and matchings are core building blocks in a variety of late...
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08/02/2017
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
In textual information extraction and other sequence labeling tasks it i...
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03/16/2017
End-to-End Learning for Structured Prediction Energy Networks
Structured Prediction Energy Networks (SPENs) are a simple, yet expressi...
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02/07/2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Today when many practitioners run basic NLP on the entire web and large-...
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01/17/2017
Synthesizing Normalized Faces from Facial Identity Features
We present a method for synthesizing a frontal, neutral-expression image...
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09/07/2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
In a variety of application domains the content to be recommended to use...
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07/05/2016
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Our goal is to combine the rich multistep inference of symbolic logical ...
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11/19/2015
Multilingual Relation Extraction using Compositional Universal Schema
Universal schema builds a knowledge base (KB) of entities and relations ...
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11/19/2015
Structured Prediction Energy Networks
We introduce structured prediction energy networks (SPENs), a flexible f...
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03/04/2015
Bethe Projections for Non-Local Inference
Many inference problems in structured prediction are naturally solved by...
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03/04/2015
Bethe Learning of Conditional Random Fields via MAP Decoding
Many machine learning tasks can be formulated in terms of predicting str...
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02/13/2015
