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04/23/2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models
Earth System Models (ESMs) are essential tools for understanding the imp...
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07/29/2021
Fine-Grained Classroom Activity Detection from Audio with Neural Networks
Instructors are increasingly incorporating student-centered learning tec...
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07/28/2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers
There are many important applications for detecting and localizing speci...
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04/29/2021
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Climate models encapsulate our best understanding of the Earth system, a...
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12/02/2020
A Study of Few-Shot Audio Classification
Advances in deep learning have resulted in state-of-the-art performance ...
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11/23/2020
DeepClimGAN: A High-Resolution Climate Data Generator
Earth system models (ESMs), which simulate the physics and chemistry of ...
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04/24/2020
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Backdoor data poisoning attacks have recently been demonstrated in compu...
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09/14/2019
Metric-Based Few-Shot Learning for Video Action Recognition
In the few-shot scenario, a learner must effectively generalize to unsee...
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03/13/2018
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
Deep learning has recently demonstrated state-of-the art performance on ...
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12/02/2017
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Automated analysis methods are crucial aids for monitoring and defending...
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10/02/2017