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

24

14

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29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Unsupervised Neural Machine Translation with SMT as Posterior Regularization AAAI 2019 Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization CVPR 2019 Unsupervised Phonetic and Word Level Discovery for Speech to Speech Translation for Unwritten Languages Interspeech 2019 Unsupervised Procedure Learning via Joint Dynamic Summarization ICCV 2019 Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition Interspeech 2019 Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching ICLR 2019 Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents AAAI 2019 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019 Using natural conversations to classify autism with limited data: Age matters NAACL 2019 Using Natural Language Relations between Answer Choices for Machine Comprehension NAACL 2019 Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019 Using Similarity Measures to Select Pretraining Data for NER NAACL 2019 Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification Interspeech 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019 Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow ICLR 2019 Variational Few-Shot Learning ICCV 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Vietnamese Learners Tackling the German /ʃt/ in Perception Interspeech 2019 Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention CVPR 2019 Visual Concept-Metaconcept Learning NeurIPS 2019 Visualizing and Understanding the Effectiveness of BERT EMNLP 2019 Wasserstein regularization for sparse multi-task regression AISTATS 2019 Weakly Supervised Multilingual Causality Extraction from Wikipedia EMNLP 2019