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

24

14

20

29

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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)

Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach WACV 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021 Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems RSS 2021 Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition Interspeech 2021 Adaptive Federated Optimization ICLR 2021 Adaptive Image Transformer for One-Shot Object Detection CVPR 2021 Adaptive Nearest Neighbor Machine Translation ACL 2021 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization NAACL 2021 AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning WACV 2021 A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification CoNLL 2021 A Dataset and Baselines for Multilingual Reply Suggestion ACL 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation EACL 2021 A decentralized policy gradient approach to multi-task reinforcement learning UAI 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adult Content Detection on Arabic Twitter: Analysis and Experiments EACL 2021 Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification ICLR 2021 Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition AAAI 2021 Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021 Adversarial Reweighting for Partial Domain Adaptation NeurIPS 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021