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06/15/2023
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Out-of-Distribution (OOD) detection is critical for the reliable operati...
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06/15/2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Modern machine learning models deployed in the wild can encounter both c...
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03/06/2023
Non-Parametric Outlier Synthesis
Out-of-distribution (OOD) detection is indispensable for safely deployin...
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10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
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03/08/2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Building reliable object detectors that can detect out-of-distribution (...
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02/02/2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Out-of-distribution (OOD) detection has received much attention lately d...
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06/14/2021
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
Semi-supervised node classification, as a fundamental problem in graph l...
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02/24/2021
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...
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02/03/2021
Learning Diverse-Structured Networks for Adversarial Robustness
In adversarial training (AT), the main focus has been the objective and ...
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12/23/2020
Small-Group Learning, with Application to Neural Architecture Search
Small-group learning is a broadly used methodology in human learning and...
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12/09/2020
Skillearn: Machine Learning Inspired by Humans' Learning Skills
Humans, as the most powerful learners on the planet, have accumulated a ...
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11/30/2020
Learning by Passing Tests, with Application to Neural Architecture Search
Learning through tests is a broadly used methodology in human learning a...
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07/06/2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
We study the problem of node classification on graphs with few-shot nove...
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04/07/2020
