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)

ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection SemEval 2022 ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification SemEval 2022 Assaying Out-Of-Distribution Generalization in Transfer Learning NeurIPS 2022 Assessing the Limits of Straightforward Models for Nested Named Entity Recognition in Spanish Clinical Narratives EMNLP 2022 Assessing the Linguistic Knowledge in Arabic Pre-trained Language Models Using Minimal Pairs EMNLP 2022 Associating Objects and Their Effects in Video through Coordination Games NeurIPS 2022 Association Graph Learning for Multi-Task Classification with Category Shifts NeurIPS 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 A Subspace-Based Analysis of Structured and Unstructured Representations in Image-Text Retrieval EMNLP 2022 Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network COLING 2022 AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model COLING 2022 ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs NAACL 2022 ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework CVPR 2022 A Transfer and Multi-Task Learning based Approach for MOS Prediction Interspeech 2022 ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts EMNLP 2022 Attentional Meta-learners for Few-shot Polythetic Classification ICML 2022 Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU NAACL 2022 Attention Modulation for Zero-Shot Cross-Domain Dialogue State Tracking COLING 2022 Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning CVPR 2022 A Two-Stage Approach towards Generalization in Knowledge Base Question Answering EMNLP 2022 AudiFace: Multimodal Deep Learning for Depression Screening MLHC 2022