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)

Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages COLING 2024 Consistent Autoformalization for Constructing Mathematical Libraries EMNLP 2024 Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024 Consistent Prompting for Rehearsal-Free Continual Learning CVPR 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs EMNLP 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Context-Aware Meta-Learning ICLR 2024 Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning CVPR 2024 Context is Environment ICLR 2024 Contextual Active Model Selection NeurIPS 2024 Contextualization Distillation from Large Language Model for Knowledge Graph Completion EACL 2024 Contextual Label Projection for Cross-Lingual Structured Prediction NAACL 2024 Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024 Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024 Continual Learning in the Frequency Domain NeurIPS 2024 Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation ICLR 2024 Continual Learning with Global Alignment NeurIPS 2024 Continual Learning with Pre-Trained Models: A Survey IJCAI 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024 Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024 Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture WACV 2024 Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection CoNLL 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing AAAI 2024