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

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Learning Optimal Representations with the Decodable Information Bottleneck NeurIPS 2020 Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CoRL 2020 Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition EMNLP 2020 Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NeurIPS 2020 Learning Speaker Embedding from Text-to-Speech Interspeech 2020 Learning Spoken Language Representations with Neural Lattice Language Modeling ACL 2020 Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020 Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer AAAI 2020 Learning to Adapt to Evolving Domains NeurIPS 2020 Learning to Autofocus CVPR 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks ICLR 2020 Learning to Branch for Multi-Task Learning ICML 2020 Learning to Classify Events from Human Needs Category Descriptions EMNLP 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020 Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training COLING 2020 Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task EMNLP 2020 Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NeurIPS 2020 Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020 Learning to Forget for Meta-Learning CVPR 2020 Learning to Learn by Zeroth-Order Oracle ICLR 2020 Learning to Learn Cropping Models for Different Aspect Ratio Requirements CVPR 2020 Learning to learn generative programs with Memoised Wake-Sleep UAI 2020