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Poster
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Tue 12:00
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Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva · Jakob Verbeek · Karteek Alahari
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Poster
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Thu 6:00
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T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon · Young Oh Bang · Junyaup Kim · Simon Woo
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Poster
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Wed 9:00
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Margin-aware Adversarial Domain Adaptation with Optimal Transport
Sofien Dhouib · Ievgen Redko · Carole Lartizien
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Poster
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Thu 13:00
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Robust Learning with the Hilbert-Schmidt Independence Criterion
Daniel Greenfeld · Uri Shalit
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Poster
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Thu 12:00
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Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis · Marie-Francine Moens
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Poster
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Thu 9:00
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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang · Dapeng Hu · Jiashi Feng
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Poster
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Wed 8:00
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Frustratingly Simple Few-Shot Object Detection
Xin Wang · Thomas Huang · Joseph E Gonzalez · Trevor Darrell · Fisher Yu
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Poster
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Tue 8:00
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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
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Poster
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Thu 13:00
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A quantile-based approach for hyperparameter transfer learning
David Salinas · Huibin Shen · Valerio Perrone
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Poster
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Thu 7:00
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On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin
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Poster
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Tue 9:00
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Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen · Cho-Jui Hsieh
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Poster
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Tue 7:00
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On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re
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