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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation IJCAI 2021
Improved Meta-Learning Training for Speaker Verification INTERSPEECH 2021
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification AAAI 2021
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition AAAI 2021
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation ACL 2021
Competence-based Curriculum Learning for Multilingual Machine Translation EMNLP 2021
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation EMNLP 2021
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates CVPR 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021
Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021
Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021
Progressive Feature Interaction Search for Deep Sparse Network NIPS 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NIPS 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
Learning to Learn Graph Topologies NIPS 2021
Learning where to learn: Gradient sparsity in meta and continual learning NIPS 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NIPS 2021
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation NIPS 2021
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning MIDL 2021
Bias-tolerant Fair Classification ACML 2021
Meta-Model-Based Meta-Policy Optimization ACML 2021
Towards robust episodic meta-learning UAI 2021