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

'10

'15

'20

'25

Papers (including subtopics)

CoNMix for Source-Free Single and Multi-Target Domain Adaptation WACV 2023 Connectivity Patterns are Task Embeddings ACL 2023 Consistent Prototype Learning for Few-Shot Continual Relation Extraction ACL 2023 Consolidator: Mergable Adapter with Group Connections for Visual Adaptation ICLR 2023 Content- and Topology-Aware Representation Learning for Scientific Multi-Literature EMNLP 2023 Context-Dependent Embedding Utterance Representations for Emotion Recognition in Conversations ACL 2023 Context-enriched molecule representations improve few-shot drug discovery ICLR 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NeurIPS 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues EACL 2023 Contextual Stochastic Bilevel Optimization NeurIPS 2023 Continual Dialogue State Tracking via Example-Guided Question Answering EMNLP 2023 Continual Learners are Incremental Model Generalizers ICML 2023 Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division EMNLP 2023 Continual Learning with Scaled Gradient Projection AAAI 2023 Continually Improving Extractive QA via Human Feedback EMNLP 2023 Continual Pre-training of Language Models ICLR 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023 ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023 Contrastive Example-Based Control L4DC 2023 Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023 Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval WACV 2023 Contrastive Meta-Learning for Partially Observable Few-Shot Learning ICLR 2023 Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation ACL 2023 Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents ACL 2023