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02/02/2023
IC^3: Image Captioning by Committee Consensus
If you ask a human to describe an image, they might do so in a thousand ...
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01/06/2023
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition
Despite improvements to the generalization performance of automated spee...
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09/15/2022
Distribution Aware Metrics for Conditional Natural Language Generation
Traditional automated metrics for evaluating conditional natural languag...
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06/16/2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Recent work in machine learning and cognitive science has suggested that...
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05/19/2022
Content-Context Factorized Representations for Automated Speech Recognition
Deep neural networks have largely demonstrated their ability to perform ...
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05/12/2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
While there have been significant gains in the field of automated video ...
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02/21/2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Despite recent progress in reinforcement learning (RL), RL algorithms fo...
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10/12/2021
Multi-Modal Pre-Training for Automated Speech Recognition
Traditionally, research in automated speech recognition has focused on l...
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04/02/2021
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
Urban areas consume over two-thirds of the world's energy and account fo...
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07/27/2020
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
Automatic video captioning aims to train models to generate text descrip...
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05/06/2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Research in developmental psychology consistently shows that children ex...
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12/11/2018
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics
The internal states of most deep neural networks are difficult to interp...
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07/31/2018
