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05/25/2022
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions
Relational structure extraction covers a wide range of tasks and plays a...
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03/15/2022
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
We present a study on leveraging multilingual pre-trained generative lan...
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05/10/2021
Societal Biases in Language Generation: Progress and Challenges
Technology for language generation has advanced rapidly, spurred by adva...
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01/01/2021
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies
The ability to capture complex linguistic structures and long-term depen...
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11/28/2020
Class-agnostic Object Detection
Object detection models perform well at localizing and classifying objec...
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10/24/2020
"Nice Try, Kiddo": Ad Hominems in Dialogue Systems
Ad hominem attacks are those that attack some feature of a person's char...
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05/01/2020
Towards Controllable Biases in Language Generation
We present a general approach towards controllable societal biases in na...
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12/02/2019
Discovery and Separation of Features for Invariant Representation Learning
Supervised machine learning models often associate irrelevant nuisance f...
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11/11/2019
Invariant Representations through Adversarial Forgetting
We propose a novel approach to achieving invariance for deep neural netw...
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09/03/2019
The Woman Worked as a Babysitter: On Biases in Language Generation
We present a systematic study of biases in natural language generation (...
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07/07/2019
NIESR: Nuisance Invariant End-to-end Speech Recognition
Deep neural network models for speech recognition have achieved great su...
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05/07/2019
Unified Adversarial Invariance
We present a unified invariance framework for supervised neural networks...
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03/18/2019
QATM: Quality-Aware Template Matching For Deep Learning
Finding a template in a search image is one of the core problems many co...
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03/02/2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
Image repurposing is a commonly used method for spreading misinformation...
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09/26/2018
Unsupervised Adversarial Invariance
Data representations that contain all the information about target varia...
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02/17/2018
CapsuleGAN: Generative Adversarial Capsule Network
We present Generative Adversarial Capsule Network (CapsuleGAN), a framew...
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11/20/2017
Bidirectional Conditional Generative Adversarial Networks
Conditional variants of Generative Adversarial Networks (GANs), known as...
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07/06/2017
Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text
Real world multimedia data is often composed of multiple modalities such...
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05/04/2015
Learning Document Image Binarization from Data
In this paper we present a fully trainable binarization solution for deg...
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05/18/2013