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Workshop
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Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
Shahrzad Gholami · Lea Scheppke · Rahul Dodhia · Juan Lavista Ferres · Aaron Lee
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Workshop
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Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan · Nitin Ragothaman · Dileep Kalathil · Srinivas Shakkottai
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Workshop
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Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
Kai Zhao · Yi Ma · Jinyi Liu · Jianye Hao · Yan Zheng · Zhaopeng Meng
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Poster
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Tue 14:00
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Towards Understanding Ensemble Distillation in Federated Learning
Sejun Park · Kihun Hong · Ganguk Hwang
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Oral
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Thu 19:12
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Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Jin-Hong Du · Pratik Patil · Arun Kuchibhotla
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Poster
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Wed 14:00
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On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk · Naresh Shanbhag
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Poster
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Tue 14:00
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Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis · Pascal Frossard · François Fleuret
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Poster
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Tue 14:00
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Estimating Causal Effects using a Multi-task Deep Ensemble
Ziyang Jiang · Zhuoran Hou · Yiling Liu · Yiman Ren · Keyu Li · David Carlson
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Poster
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Tue 17:00
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Traversing Between Modes in Function Space for Fast Ensembling
EungGu Yun · Hyungi Lee · Giung Nam · Juho Lee
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Oral
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Wed 19:08
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Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Ajay Jaiswal · Shiwei Liu · Tianlong Chen · Ding · Zhangyang “Atlas” Wang
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Poster
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Tue 14:00
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Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Ajay Jaiswal · Shiwei Liu · Tianlong Chen · Ding · Zhangyang “Atlas” Wang
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Poster
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Tue 14:00
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Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
Hilaf Hasson · Danielle Robinson · Yuyang Wang · Gaurav Gupta · Youngsuk Park
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