research
∙
08/09/2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
Novel Class Discovery (NCD) aims at inferring novel classes in an unlabe...
share
research
∙
06/15/2023
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Out-of-Distribution (OOD) detection is critical for the reliable operati...
research
∙
03/23/2023
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
This work studies the generalization issue of face anti-spoofing (FAS) m...
research
∙
11/24/2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
Recognizing out-of-distribution (OOD) samples is critical for machine le...
research
∙
10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
research
∙
08/04/2022
Open-world Contrastive Learning
Recent advance in contrastive learning has shown remarkable performance....
research
∙
04/13/2022
Out-of-distribution Detection with Deep Nearest Neighbors
Out-of-distribution (OOD) detection is a critical task for deploying mac...
research
∙
03/08/2022
CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection
Out-of-distribution (OOD) detection is a critical task for reliable mach...
research
∙
11/24/2021
ReAct: Out-of-distribution Detection With Rectified Activations
Out-of-distribution (OOD) detection has received much attention lately d...
research
∙
11/18/2021
On the Effectiveness of Sparsification for Detecting the Deep Unknowns
Detecting out-of-distribution (OOD) inputs is a central challenge for sa...
research
∙
06/07/2018
