Poster

Tue 12:00

Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva · Jakob Verbeek · Karteek Alahari

Poster

Thu 6:00

T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon · Young Oh Bang · Junyaup Kim · Simon Woo

Poster

Wed 9:00

Margin-aware Adversarial Domain Adaptation with Optimal Transport
Sofien Dhouib · Ievgen Redko · Carole Lartizien

Poster

Thu 13:00

Robust Learning with the Hilbert-Schmidt Independence Criterion
Daniel Greenfeld · Uri Shalit

Poster

Thu 12:00

Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis · Marie-Francine Moens

Poster

Thu 9:00

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang · Dapeng Hu · Jiashi Feng

Poster

Wed 8:00

Frustratingly Simple Few-Shot Object Detection
Xin Wang · Thomas Huang · Joseph E Gonzalez · Trevor Darrell · Fisher Yu

Poster

Tue 8:00

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le

Poster

Thu 13:00

A quantile-based approach for hyperparameter transfer learning
David Salinas · Huibin Shen · Valerio Perrone

Poster

Thu 7:00

On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin

Poster

Tue 9:00

Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen · Cho-Jui Hsieh

Poster

Tue 7:00

On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re