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)

A causal view of compositional zero-shot recognition NeurIPS 2020 Accelerating Reinforcement Learning with Learned Skill Priors CoRL 2020 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 A Closer Look at the Training Strategy for Modern Meta-Learning NeurIPS 2020 ACNLP at SemEval-2020 Task 6: A Supervised Approach for Definition Extraction SemEval 2020 ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing CoRL 2020 A Combinatorial Perspective on Transfer Learning NeurIPS 2020 A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings AAAI 2020 A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment COLING 2020 Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation AAAI 2020 Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs CVPR 2020 Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation CVPR 2020 Active Imitation Learning with Noisy Guidance ACL 2020 Active Invariant Causal Prediction: Experiment Selection through Stability NeurIPS 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Active Local Learning COLT 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020 Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences EMNLP 2020 Adapting Neural Architectures Between Domains NeurIPS 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Adaptive Feature Selection for End-to-End Speech Translation EMNLP 2020