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)

The Role of Deconfounding in Meta-learning ICML 2022 The Surprising Effectiveness of Representation Learning for Visual Imitation RSS 2022 The University of Edinburgh’s Submission to the WMT22 Code-Mixing Shared Task (MixMT) EMNLP 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022 Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems IJCAI 2022 Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters EMNLP 2022 T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation EMNLP 2022 ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection EMNLP 2022 Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems Interspeech 2022 Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation EMNLP 2022 Toward Practical Monocular Indoor Depth Estimation CVPR 2022 Towards Compositional Generalization in Code Search EMNLP 2022 Towards Continual Knowledge Learning of Language Models ICLR 2022 Towards Cross-Domain Transferability of Text Generation Models for Legal Text EMNLP 2022 Towards Data-Free Domain Generalization ACML 2022 Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure EMNLP 2022 Towards Efficient Post-training Quantization of Pre-trained Language Models NeurIPS 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Towards Few-Shot Identification of Morality Frames using In-Context Learning EMNLP 2022 Towards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs ACL 2022 Towards Improved Zero-shot Voice Conversion with Conditional DSVAE Interspeech 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Towards Model Agnostic Federated Learning Using Knowledge Distillation ICLR 2022 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022