research
∙
08/14/2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
Test-time adaptation (TTA) methods, which generally rely on the model's ...
share
research
∙
03/03/2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
This paper presents a simple yet effective approach that improves contin...
research
∙
02/27/2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
Time-series forecasting models often encounter abrupt changes in a given...
research
∙
09/14/2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
Image classification models often learn to predict a class based on irre...
research
∙
06/08/2022
DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification
Image classifiers often rely overly on peripheral attributes that have a...
research
∙
06/01/2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Despite recent advancements in deep learning, deep networks still suffer...
research
∙
05/29/2022
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing
In image classification, "debiasing" aims to train a classifier to be le...
research
∙
10/22/2021
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
Despite the unprecedented improvement of face recognition, existing face...
research
∙
07/23/2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Identifying unexpected objects on roads in semantic segmentation (e.g., ...
research
∙
07/03/2021
