research
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09/15/2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
We present SHAPNN, a novel deep tabular data modeling architecture desig...
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12/11/2022
Error-aware Quantization through Noise Tempering
Quantization has become a predominant approach for model compression, en...
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10/13/2022
SQuAT: Sharpness- and Quantization-Aware Training for BERT
Quantization is an effective technique to reduce memory footprint, infer...
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05/06/2022
Robustness of Neural Architectures for Audio Event Detection
Traditionally, in Audio Recognition pipeline, noise is suppressed by the...
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03/25/2022
AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification
After its sweeping success in vision and language tasks, pure attention-...
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03/23/2022
On Adversarial Robustness of Large-scale Audio Visual Learning
As audio-visual systems are being deployed for safety-critical tasks suc...
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11/15/2020
Audio-Visual Event Recognition through the lens of Adversary
As audio/visual classification models are widely deployed for sensitive ...
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10/31/2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System
Voice Assistants (VAs) such as Amazon Alexa or Google Assistant rely on ...
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11/29/2016
Learning Filter Banks Using Deep Learning For Acoustic Signals
Designing appropriate features for acoustic event recognition tasks is a...
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10/01/2016
