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)

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone ICCV 2023 EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models NeurIPS 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Eliminating Domain Bias for Federated Learning in Representation Space NeurIPS 2023 Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation WACV 2023 Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification NeurIPS 2023 Emergent Communication for Rules Reasoning NeurIPS 2023 EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning NeurIPS 2023 Emotion Analysis of Tweets Banning Education in Afghanistan ACL 2023 Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation EACL 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Empirical Study of Zero-Shot NER with ChatGPT EMNLP 2023 Empowering Knowledge Discovery from Scientific Literature: A novel approach to Research Artifact Analysis EMNLP 2023 Enabling Abductive Learning to Exploit Knowledge Graph IJCAI 2023 Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values ACL 2023 Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023 End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion EACL 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NeurIPS 2023 End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation AAAI 2023 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs AAAI 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language ICML 2023 Enhancing Cross-lingual Prompting with Dual Prompt Augmentation ACL 2023 Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples ACL 2023 Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NeurIPS 2023