Search All 2023 Events
 

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Poster
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang · Qiang Fu · Xu Chen · Lun Du · Zelin Li · Gang Wang · Xiaoguang Liu · Shi Han · Dongmei Zhang
Poster
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin · Tong Zhao · Jiayuan Ding · Yozen Liu · Jiliang Tang · Neil Shah
Poster
Mon 2:30 Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur · Emre Kiciman · Amit Sharma
Workshop
Thu 4:50 Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
Poster
Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham · Hung Le · Man Ngo · Truyen Tran
Poster
Mon 7:30 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans · Phillip Isola
Workshop
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Yuzhe Lu · Zhenlin Wang · Runtian Zhai · Soheil Kolouri · Joseph Campbell · Katia Sycara
Poster
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
Xuyang Zhao · Tianqi Du · Yisen Wang · Jun Yao · Weiran Huang
Poster
Tue 7:30 Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic · Nebojsa Bozanic · Arjun Ashok · Rosanne Liu
Workshop
Thu 2:00 Pareto Invariant Risk Minimization: Towards Mitigating The Optimization Dilemma in Out-of-Distribution Generalization
Poster
Wed 7:30 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei · Mohammadreza Salehi · Sajjad Shahabi · Efstratios Gavves · Cees G Snoek · Mohammad Sabokrou · Mohammad Hossein Rohban