Affinity Workshop
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Fair Active learning by exploiting causal data structure
Sindhu C M Gowda · Haoran Zhang · Marzyeh Ghassemi
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Workshop
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Fri 11:09
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An Active Learning Reliability Method for Systems with Partially Defined Performance Functions
Jonathan Sadeghi
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Workshop
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Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
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Affinity Workshop
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Protein Structure Ranking with Atom-level Geometric Representation Learning
Tian Xia · Sarp Aykent
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Workshop
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Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
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Poster
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Thu 9:00
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Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
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Workshop
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Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks
Zhe Li · Andreas Tolias · Xaq Pitkow
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Poster
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Active Learning for Multiple Target Models
Ying-Peng Tang · Sheng-Jun Huang
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Workshop
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Fri 11:18
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Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel
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Poster
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Thu 14:00
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Pre-activation Distributions Expose Backdoor Neurons
Runkai Zheng · Rongjun Tang · Jianze Li · Li Liu
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Workshop
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Understanding Optimization Challenges when Encoding to Geometric Structures
Babak Esmaeili · Robin Walters · Heiko Zimmermann · Jan-Willem van de Meent
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Poster
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Thu 9:00
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Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
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