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)

Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023 Active Learning-Based Species Range Estimation NeurIPS 2023 Active Learning for Semantic Segmentation with Multi-class Label Query NeurIPS 2023 Actively Supervised Clustering for Open Relation Extraction ACL 2023 Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice NeurIPS 2023 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training EACL 2023 Active Reasoning in an Open-World Environment NeurIPS 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models NeurIPS 2023 Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting EMNLP 2023 Adapter-Based Extension of Multi-Speaker Text-To-Speech Model for New Speakers Interspeech 2023 Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers Interspeech 2023 Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning EMNLP 2023 Adapting Language-Audio Models as Few-Shot Audio Learners Interspeech 2023 Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference EMNLP 2023 Adapting Pre-trained Generative Models for Extractive Question Answering EMNLP 2023 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023 Adaptive Compositional Continual Meta-Learning ICML 2023 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023 Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling EMNLP 2023 Adaptive IMLE for Few-shot Pretraining-free Generative Modelling ICML 2023 Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023 Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels NeurIPS 2023