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Workshop
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Fri 17:30
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Repurposing Density Functional Theory to Suit Deep Learning
Alexander Mathiasen
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Workshop
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Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva · Kameron Shahabi · Vatsal Sharan
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Workshop
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Task-Linear Deep Representation of Physical Systems
Matthieu Blanke · Marc Lelarge
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Workshop
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ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
Xiangjian Jiang · Andrei Margeloiu · Nikola Simidjievski · Mateja Jamnik
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Poster
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Wed 17:00
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Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
Zhibin Duan · Xinyang Liu · Yudi Su · Yishi Xu · Bo Chen · Mingyuan Zhou
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Poster
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Wed 17:00
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Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav Iyer · Boris Hanin · David Rolnick
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Workshop
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Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
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Poster
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Thu 16:30
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Streaming Active Learning with Deep Neural Networks
Akanksha Saran · Safoora Yousefi · Akshay Krishnamurthy · John Langford · Jordan Ash
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Poster
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Tue 14:00
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Learning Belief Representations for Partially Observable Deep RL
Andrew Wang · Andrew C Li · Toryn Q Klassen · Rodrigo A Toro Icarte · Sheila McIlraith
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Workshop
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Fri 18:20
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Constraint Satisfied Sampling for Formal Verification in Geometric Deep Learning and Molecular Modelling
Justin Diamond · Markus Lill
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Workshop
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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