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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2

4

12

24

14

20

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)

Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019 Better Transfer Learning with Inferred Successor Maps NeurIPS 2019 Biologically-Plausible Learning Algorithms Can Scale to Large Datasets ICLR 2019 Biomedical Relation Classification by single and multiple source domain adaptation EMNLP 2019 BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ACL 2019 BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions NAACL 2019 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 Bridging Machine Learning and Logical Reasoning by Abductive Learning NeurIPS 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 Budget-Aware Adapters for Multi-Domain Learning ICCV 2019 CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations EMNLP 2019 Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ACL 2019 Capture, Learning, and Synthesis of 3D Speaking Styles CVPR 2019 Characterizing and Avoiding Negative Transfer CVPR 2019 Char-RNN for Word Stress Detection in East Slavic Languages NAACL 2019 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst RSS 2019 CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding EMNLP 2019 Cognitive model priors for predicting human decisions ICML 2019 Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019 Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019 Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks CVPR 2019 Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019