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ORCIDMetaDL@AAAI 2021: Virtual Event
- Isabelle Guyon, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021. Proceedings of Machine Learning Research 140, PMLR 2021 - Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer
, Joaquin Vanschoren:
Advances in MetaDL: AAAI 2021 Challenge and Workshop. 1-16 - Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu:
MetaDelta: A Meta-Learning System for Few-shot Image Classification. 17-28 - Tomás Chobola, Daniel Vasata, Pavel Kordík:
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. 29-37 - Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan:
Stress Testing of Meta-learning Approaches for Few-shot Learning. 38-44 - Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny:
Semi-Supervised Few-Shot Learning with Prototypical Random Walks. 45-57 - Haniye Kashgarani, Lars Kotthoff:
Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution. 58-64 - Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. 65-76 - Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas:
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. 77-89 - Rui Leite, Pavel Brazdil:
Exploiting Performance-based Similarity between Datasets in Metalearning. 90-99 - Zhengying Liu, Isabelle Guyon:
Asymptotic Analysis of Meta-learning as a Recommendation Problem. 100-114 - Anay Majee, Kshitij Agrawal, Anbumani Subramanian:
Few-Shot Learning for Road Object Detection. 115-126 - Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta:
Learning Abstract Task Representations. 127-137 - Eric Mitchell, Chelsea Finn, Christopher D. Manning:
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. 138-148
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