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75 Results
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Poster
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Tue 14:00 |
Towards Robust Detection of Adversarial Examples Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu |
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Spotlight
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Thu 13:45 |
Binary Classification from Positive-Confidence Data Takashi Ishida · Gang Niu · Masashi Sugiyama |
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Poster
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Tue 7:45 |
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices Don Dennis · Chirag Pabbaraju · Harsha Vardhan Simhadri · Prateek Jain |
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Poster
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Tue 7:45 |
With Friends Like These, Who Needs Adversaries? Saumya Jetley · Nicholas Lord · Philip Torr |
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Poster
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Tue 7:45 |
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler · Wouter Boomsma · Mario Geiger · Max Welling · Taco Cohen |
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Poster
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Thu 14:00 |
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks · Mantas Mazeika · Duncan Wilson · Kevin Gimpel |
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Poster
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Wed 7:45 |
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios Diochnos · Saeed Mahloujifar · Mohammad Mahmoody |
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Poster
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Thu 14:00 |
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le · Makoto Yamada |
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Poster
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Wed 14:00 |
Improving Simple Models with Confidence Profiles Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss · Peder A Olsen |
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Poster
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Tue 7:45 |
Deep Anomaly Detection Using Geometric Transformations Izhak Golan · Ran El-Yaniv |
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Poster
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Wed 7:45 |
PAC-Bayes bounds for stable algorithms with instance-dependent priors Omar Rivasplata · Emilio Parrado-Hernandez · John Shawe-Taylor · Shiliang Sun · Csaba Szepesvari |
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Workshop
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Fri 15:00 |
Real Defect Image Classification through Hierarchical Data Augmentation Jiman Kim |