research
∙
09/07/2023
Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
The choice of the objective function is crucial in emerging high-quality...
share
research
∙
06/21/2023
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI
Pre-trained language models have recently emerged as a powerful tool for...
research
∙
06/21/2023
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
Investigating deep learning language models has always been a significan...
research
∙
06/23/2021
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis
Applying artificial neural networks (ANN) to specific tasks, researchers...
research
∙
06/17/2021
Exploring the Properties and Evolution of Neural Network Eigenspaces during Training
In this work we explore the information processing inside neural network...
research
∙
02/02/2021