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58 Results
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Workshop
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Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi · Daiki Chijiwa · Sekitoshi Kanai · Atsutoshi Kumagai · Hisashi Kashima |
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Poster
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Wed 17:00 |
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation Ruijiang Dong · Feng Liu · Haoang Chi · Tongliang Liu · Mingming Gong · Gang Niu · Masashi Sugiyama · Bo Han |
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Workshop
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Morse Neural Networks for Uncertainty Quantification Benoit Dherin · Huiyi Hu · JIE REN · Michael Dusenberry · Balaji Lakshminarayanan |
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Poster
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Wed 14:00 |
The Acquisition of Physical Knowledge in Generative Neural Networks Luca M. Schulze Buschoff · Eric Schulz · Marcel Binz |
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Workshop
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Evaluating the diversity and utility of materials proposed by generative models Alexander New · Michael Pekala · Elizabeth Pogue · Nam Q. Le · Janna Domenico · Christine Piatko · Christopher Stiles |
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks? |
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Poster
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Wed 17:00 |
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu · Richard Zhang |
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers Hossein Mirzaei · Mohammad Jafari · Hamid Reza Dehbashi · Ali Ansari · Sepehr Ghobadi · Masoud Hadi · Arshia Soltani Moakhar · Mohammad Azizmalayeri · Mahdieh Soleymani Baghshah · Mohammad H Rohban |
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Poster
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Thu 16:30 |
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss Pierre Bréchet · Katerina Papagiannouli · Jing An · Guido Montufar |
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Workshop
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A Theoretical Perspective on the Robustness of Feature Extractors Arjun Nitin Bhagoji · Daniel Cullina · Ben Zhao |
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo |
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Workshop
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Black Box Adversarial Prompting for Foundation Models Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner |