research
∙
09/07/2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Fully-test-time adaptation (F-TTA) can mitigate performance loss due to ...
share
research
∙
08/18/2023
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning
We present Spatial LibriSpeech, a spatial audio dataset with over 650 ho...
research
∙
03/18/2022
Towards a Perceptual Model for Estimating the Quality of Visual Speech
Generating realistic lip motions to simulate speech production is key fo...
research
∙
02/03/2022
FORML: Learning to Reweight Data for Fairness
Deployed machine learning models are evaluated by multiple metrics beyon...
research
∙
08/24/2020
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training
Deep neural networks achieve state-of-the-art performance in a variety o...
research
∙
03/26/2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Learning accurate models of the physical world is required for a lot of ...
research
∙
11/19/2017
A Double Parametric Bootstrap Test for Topic Models
Non-negative matrix factorization (NMF) is a technique for finding laten...
research
∙
12/21/2015