|
Workshop
|
|
Curriculum Meta-Learning for Few-shot Classification
Priyanka Agrawal
|
|
|
Workshop
|
|
Continual Few-Shot Learning for Named Entity Recognition
|
|
|
Competition
|
Thu 11:24
|
Breakout: Traffic4cast 2021 – Temporal and Spatial Few-Shot Transfer Learning in Traffic Map Movie Forecasting
|
|
|
Poster
|
Wed 0:30
|
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
Aming WU · Suqi Zhao · Cheng Deng · Wei Liu
|
|
|
Poster
|
Thu 16:30
|
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang · Guoliang Kang · Yi Yang · Yunchao Wei
|
|
|
Tutorial
|
Mon 6:55
|
Few-Shot Learning for Low-Resource Languages
David Adelani
|
|
|
Affinity Workshop
|
|
Microsoft - Advancing real-world few-shot learning with the new ORBIT dataset (Daniela Massiceti)
Daniela Massiceti
|
|
|
Poster
|
Thu 16:30
|
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
|
|
|
Poster
|
Tue 8:30
|
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
|
|
|
Poster
|
Tue 8:30
|
On Episodes, Prototypical Networks, and Few-Shot Learning
Steinar Laenen · Luca Bertinetto
|
|
|
Poster
|
Thu 16:30
|
Realistic evaluation of transductive few-shot learning
Olivier Veilleux · Malik Boudiaf · Pablo Piantanida · Ismail Ben Ayed
|
|
|
Poster
|
Thu 8:30
|
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha · Jiaming Song · Chenlin Meng · Stefano Ermon
|
|
