research
∙
09/09/2023
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
Counterfactual explanations (CFEs) exemplify how to minimally modify a f...
share
research
∙
08/03/2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised representation learning approaches aim to learn discriminat...
research
∙
12/02/2022
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series
Learning semantic-rich representations from raw unlabeled time series da...
research
∙
05/13/2022
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
Cloud service providers have launched Machine-Learning-as-a-Service (MLa...
research
∙
05/02/2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
In reinforcement learning (RL), it is challenging to learn directly from...
research
∙
02/12/2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Self-supervised learning establishes a new paradigm of learning represen...
research
∙
01/20/2022
