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Workshop
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Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Dmitry Akimov · Sergey Kolesnikov |
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Poster
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Thu 9:00 |
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees Jonathan Brophy · Daniel Lowd |
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Poster
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Thu 9:00 |
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding · Lingxiao Zhao · Leman Akoglu |
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Workshop
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Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning Ingook Jang · Seonghyun Kim |
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Poster
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Wed 14:00 |
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Ozgur Turkoglu · Alexander Becker · Hüseyin Anil Gündüz · Mina Rezaei · Bernd Bischl · Rodrigo Caye Daudt · Stefano D'Aronco · Jan Wegner · Konrad Schindler |
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Poster
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Wed 9:00 |
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai · Chengyu Song · Srikanth Krishnamurthy · Amit Roy-Chowdhury · Salman Asif |
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Poster
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Wed 9:00 |
IALE: Imitating Active Learner Ensembles Christoffer Löffler · Christopher Mutschler |
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Poster
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Tue 14:00 |
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel Seijin Kobayashi · Pau Vilimelis Aceituno · Johannes von Oswald |
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Poster
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Tue 9:00 |
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou |
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Poster
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Thu 9:00 |
DivBO: Diversity-aware CASH for Ensemble Learning Yu Shen · Yupeng Lu · Yang Li · Yaofeng Tu · Wentao Zhang · Bin CUI |
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Poster
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Thu 14:00 |
Improved Feature Distillation via Projector Ensemble Yudong Chen · Sen Wang · Jiajun Liu · Xuwei Xu · Frank de Hoog · Zi Huang |
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Poster
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Thu 9:00 |
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schürholt · Boris Knyazev · Xavier Giró-i-Nieto · Damian Borth |