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12 Results
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Poster
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Wed 2:30 |
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen · Yingzhen Li |
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Poster
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Wed 7:30 |
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Lorenz Kuhn · Yarin Gal · Sebastian Farquhar |
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Oral
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Wed 6:40 |
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Lorenz Kuhn · Yarin Gal · Sebastian Farquhar |
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Poster
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Tue 2:30 |
Latent Bottlenecked Attentive Neural Processes Leo Feng · Hossein Hajimirsadeghi · Yoshua Bengio · Mohamed Osama Ahmed |
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Poster
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Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation Shuzhou Sun · Shuaifeng Zhi · Janne Heikkila · Li Liu |
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Poster
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Wed 7:30 |
A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles Seohyeon Jung · Sanghyun Kim · Juho Lee |
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Poster
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Tue 7:30 |
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation Younghyun Park · Wonjeong Choi · Soyeong Kim · Dong-Jun Han · Jaekyun Moon |
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Poster
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Mon 7:30 |
Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro · Pau Rodriguez Lopez · Pierre-André Noël · Issam Laradji · David Vazquez |
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Oral
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Wed 6:40 |
Packed Ensembles for efficient uncertainty estimation Olivier Laurent · Adrien Lafage · Enzo Tartaglione · Geoffrey Daniel · Jean-marc Martinez · Andrei Bursuc · Gianni Franchi |
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Poster
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Wed 7:30 |
Packed Ensembles for efficient uncertainty estimation Olivier Laurent · Adrien Lafage · Enzo Tartaglione · Geoffrey Daniel · Jean-marc Martinez · Andrei Bursuc · Gianni Franchi |
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Poster
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Tue 7:30 |
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? Ido Galil · Mohammed Dabbah · Ran El-Yaniv |
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Poster
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Tue 2:30 |
Sampling-based inference for large linear models, with application to linearised Laplace Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato |