conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

Graphonomy: Universal Human Parsing via Graph Transfer Learning CVPR 2019 Guided Meta-Policy Search NeurIPS 2019 Guided Neural Language Generation for Automated Storytelling ACL 2019 Guiding Policies with Language via Meta-Learning ICLR 2019 HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization ICCV 2019 Handling Syntactic Divergence in Low-resource Machine Translation EMNLP 2019 Harry Potter and the Action Prediction Challenge from Natural Language NAACL 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019 Hierarchical Attention Prototypical Networks for Few-Shot Text Classification EMNLP 2019 Hierarchically Structured Meta-learning ICML 2019 Hierarchical Transfer Learning for Multi-label Text Classification ACL 2019 HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing SemEval 2019 HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving ICML 2019 How to train your MAML ICLR 2019 hULMonA: The Universal Language Model in Arabic ACL 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019 Hyper-parameter Tuning under a Budget Constraint IJCAI 2019 Hyperspherical Prototype Networks NeurIPS 2019 I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences Interspeech 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Identifying Temporal Trends Based on Perplexity and Clustering: Are We Looking at Language Change? ACL 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019