



















[edit]
[edit]
Editors: Isabelle Guyon, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
Filter Authors: Filter Titles:
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
[abs][Download PDF]
MetaDelta: A Meta-Learning System for Few-shot Image Classification
; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:17-28
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
Exploiting Performance-based Similarity between Datasets in Metalearning
Rui Leite, Pavel Brazdil; AAAI Workshop on Meta-Learning and MetaDL Challenge, PMLR 140:90-99
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
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
[abs][Download PDF]
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。