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151 Results
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Workshop
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Sat 11:55 |
2.2 Towards Algorithm-Agnostic Uncertainty Estimation: Predicting Classification Error in an Automated Machine Learning Setting Matthias König |
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Workshop
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Sat 12:00 |
2.9 ‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection Joeran Beel |
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Workshop
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(#46 / Sess. 2) Discrete Planning with End-to-end Trained Neuro-algorithmic Policies Marin Vlastelica |
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Workshop
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Discrete Planning with End-to-end Trained Neuro-algorithmic Policies Marin Vlastelica |
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Poster
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Wed 8:00 |
Adversarial Filters of Dataset Biases Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi |
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Poster
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Tue 19:00 |
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels Yu-Ting Chou · Gang Niu · Hsuan-Tien Lin · Masashi Sugiyama |
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Poster
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Thu 7:00 |
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou · Mao Ye · Chen Chen · Tianjian Meng · Mingxing Tan · Xiaodan Song · Quoc Le · Qiang Liu · Dale Schuurmans |
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Poster
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Tue 7:00 |
Confidence-Aware Learning for Deep Neural Networks Jooyoung Moon · Jihyo Kim · Younghak Shin · Sangheum Hwang |
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Poster
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Thu 6:00 |
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms Kaiyi Ji · Zhe Wang · Bowen Weng · Yi Zhou · Wei Zhang · Yingbin LIANG |
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Poster
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Wed 10:00 |
Self-supervised Label Augmentation via Input Transformations Hankook Lee · Sung Ju Hwang · Jinwoo Shin |
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Poster
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Tue 18:00 |
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang |
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Poster
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Tue 8:00 |
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi · Dinghuai Zhang · Qi Dai · Zhanxing Zhu · Yadong Mu · Jingdong Wang |