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07/31/2023
Lookbehind Optimizer: k steps back, 1 step forward
The Lookahead optimizer improves the training stability of deep neural n...
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07/18/2023
Promoting Exploration in Memory-Augmented Adam using Critical Momenta
Adaptive gradient-based optimizers, particularly Adam, have left their m...
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05/22/2023
Should We Attend More or Less? Modulating Attention for Fairness
The abundance of annotated data in natural language processing (NLP) pos...
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11/20/2022
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Data-driven predictive solutions predominant in commercial applications ...
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11/18/2022
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators
Energy-efficient deep neural network (DNN) accelerators are prone to non...
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08/03/2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Meta-Learning algorithms for few-shot learning aim to train neural netwo...
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05/03/2022
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators
Memristors enable the computation of matrix-vector multiplications (MVM)...
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03/31/2021
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
We demonstrate that 1x1-convolutions in 1D time-channel separable convol...
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03/22/2021
Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing
The analysis of the compression effects in generative adversarial networ...
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10/09/2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
We propose a family of metrics to assess language generation derived fro...
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02/03/2020
Improving the Evaluation of Generative Models with Fuzzy Logic
Objective and interpretable metrics to evaluate current artificial intel...
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01/10/2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
We propose to tackle the mode collapse problem in generative adversarial...
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05/29/2019
Instant Quantization of Neural Networks using Monte Carlo Methods
Low bit-width integer weights and activations are very important for eff...
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07/30/2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
We propose to incorporate adversarial dropout in generative multi-advers...
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08/17/2017
Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content
Using solely the information retrieved by audio fingerprinting technique...
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08/17/2017