Advances in MetaDL: AAAI 2021 Challenge and Workshop

Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sebastien Treguer, Joaquin Vanschoren; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:1-16

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MetaDelta: A Meta-Learning System for Few-shot Image Classification

Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:17-28

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Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network

Tomáš Chobola, Daniel Vašata, Pavel Kordík; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:29-37

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Stress Testing of Meta-learning Approaches for Few-shot Learning

Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:38-44

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Semi-Supervised Few-Shot Learning with Prototypical Random Walks

Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:45-57

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Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution

Haniye Kashgarani, Lars Kotthoff; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:58-64

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Learning to Continually Learn Rapidly from Few and Noisy Data

Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:65-76

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Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning

Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:77-89

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Exploiting Performance-based Similarity between Datasets in Metalearning

Rui Leite, Pavel Brazdil; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:90-99

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Asymptotic Analysis of Meta-learning as a Recommendation Problem

Zhengying Liu, Isabelle Guyon; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:100-114

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Few-Shot Learning for Road Object Detection

Anay Majee, Kshitij Agrawal, Anbumani Subramanian; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:115-126

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Learning Abstract Task Representations

Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:127-137

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Challenges of Acquiring Compositional Inductive Biases via Meta-Learning

Eric Mitchell, Chelsea Finn, Chris Manning; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:138-148

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