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Workshop
Sat 11:55 2.2 Towards Algorithm-Agnostic Uncertainty Estimation: Predicting Classification Error in an Automated Machine Learning Setting
Matthias König
Workshop
Sat 12:00 2.9 ‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection
Joeran Beel
Workshop
(#46 / Sess. 2) Discrete Planning with End-to-end Trained Neuro-algorithmic Policies
Marin Vlastelica
Workshop
Discrete Planning with End-to-end Trained Neuro-algorithmic Policies
Marin Vlastelica
Poster
Wed 8:00 Adversarial Filters of Dataset Biases
Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi
Poster
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
Poster
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
Workshop
Sat 11:55 2.1 Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries
Joeran Beel
Poster
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
Poster
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
Poster
Tue 7:00 Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon · Jihyo Kim · Younghak Shin · Sangheum Hwang
Workshop
Fri 1:15 Contributed Talk 2: Karimi et al. - Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Wojciech Samek