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

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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

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Papers (including subtopics)

Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023 Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization EMNLP 2023 Self-Supervised Reinforcement Learning that Transfers using Random Features NeurIPS 2023 Self-Supervised Representation Learning for CAD CVPR 2023 Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge EMNLP 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning ICLR 2023 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models ICML 2023 Semantic Guided Latent Parts Embedding for Few-Shot Learning WACV 2023 Semantic matching for text classification with complex class descriptions EMNLP 2023 Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR Interspeech 2023 SemEval-2023 Task 1: Visual Word Sense Disambiguation SemEval 2023 Semi-Parametric Inducing Point Networks and Neural Processes ICLR 2023 Semi-supervised Domain Adaptation in Graph Transfer Learning IJCAI 2023 Semi-Supervised Domain Generalization with Known and Unknown Classes NeurIPS 2023 Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data MLHC 2023 SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification ICML 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation AAAI 2023 Sentiment and Emotion Classification in Low-resource Settings ACL 2023 SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence CVPR 2023 SEPT: Towards Scalable and Efficient Visual Pre-training AAAI 2023 Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference AAAI 2023 Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning RSS 2023 Sequence Learning Using Equilibrium Propagation IJCAI 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023 Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models ICCV 2023