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

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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

'5

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Papers (including subtopics)

Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta Self-Refinement for Robust Learning with Weak Supervision EACL 2023 Meta Temporal Point Processes ICLR 2023 MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023 Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Meta-ZSDETR: Zero-shot DETR with Meta-learning ICCV 2023 MEVID: Multi-View Extended Videos With Identities for Video Person Re-Identification WACV 2023 MEWL: Few-shot multimodal word learning with referential uncertainty ICML 2023 MGDD: A Meta Generator for Fast Dataset Distillation NeurIPS 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) AAAI 2023 MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation CVPR 2023 miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings ACL 2023 MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty EMNLP 2023 MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations CoRL 2023 Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data SemEval 2023 Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models EACL 2023 Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection EACL 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning Interspeech 2023 Mitigating the Effect of Incidental Correlations on Part-based Learning NeurIPS 2023 Mix before Align: Towards Zero-shot Cross-lingual Sentiment Analysis via Soft-Mix and Multi-View Learning Interspeech 2023