|
Workshop
|
|
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training
Eleni Triantafillou
|
|
|
Poster
|
Wed 21:00
|
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
Taewon Jeong · Heeyoung Kim
|
|
|
Poster
|
Thu 9:00
|
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch · Ankush Gupta · Andrew Zisserman
|
|
|
Workshop
|
|
Multi-Label Incremental Few-Shot Learning for Medical Image Pathology classifiers
Laleh Seyyed-Kalantari
|
|
|
Poster
|
Thu 9:00
|
Transductive Information Maximization for Few-Shot Learning
Malik Boudiaf · Imtiaz Ziko · Jérôme Rony · Jose Dolz · Pablo Piantanida · Ismail Ben Ayed
|
|
|
Poster
|
Mon 21:00
|
Interventional Few-Shot Learning
Zhongqi Yue · Hanwang Zhang · Qianru Sun · Xian-Sheng Hua
|
|
|
Poster
|
Mon 21:00
|
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma · Manohar Kaul
|
|
|
Workshop
|
|
Measuring few-shot extrapolation with program induction
Ferran Alet
|
|
|
Poster
|
Wed 21:00
|
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek · Dong Bok Lee · Sung Ju Hwang
|
|
|
Poster
|
Wed 9:00
|
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
|
|
|
Poster
|
Mon 21:00
|
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Youngsung Kim · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
|
|
|
Poster
|
Wed 9:00
|
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian · Yen-Cheng Liu · Nathaniel Glaser · Yen-Chang Hsu · Zsolt Kira
|
|
