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

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12

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14

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021 Scaling Digital Screen Reading With One-Shot Learning and Re-Identification WACV 2021 Scientific Claim Verification with VerT5erini EACL 2021 Scientific Discourse Tagging for Evidence Extraction EACL 2021 SDM-Net: A simple and effective model for generalized zero-shot learning UAI 2021 SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency NeurIPS 2021 Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks NAACL 2021 SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) AAAI 2021 SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021 Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021 Segmental Alignment of English Syllables with Singleton and Cluster Onsets Interspeech 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation SemEval 2021 Self-Domain Adaptation for Face Anti-Spoofing AAAI 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents NAACL 2021 Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021 Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines L4DC 2021 Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation AAAI 2021 Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Self-Supervised Pillar Motion Learning for Autonomous Driving CVPR 2021 Self-Supervised Policy Adaptation during Deployment ICLR 2021 Self-Supervised Real-to-Sim Scene Generation ICCV 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021