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

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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)

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NeurIPS 2021 Predicting Inductive Biases of Pre-Trained Models ICLR 2021 Predicting Mining Industry Accidents with a Multitask Learning Approach AAAI 2021 Predicting the Success of Domain Adaptation in Text Similarity ACL 2021 Predictive Complexity Priors AISTATS 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021 Preserved central model for faster bidirectional compression in distributed settings NeurIPS 2021 Preserving Cross-Linguality of Pre-trained Models via Continual Learning ACL 2021 Pretraining Boosts Out-of-Domain Robustness for Pose Estimation WACV 2021 Pre-training Methods for Neural Machine Translation ACL 2021 Pretraining Representations for Data-Efficient Reinforcement Learning NeurIPS 2021 Pre-training with Meta Learning for Chinese Word Segmentation NAACL 2021 Privacy-Preserving Feature Selection with Secure Multiparty Computation ICML 2021 Private learning implies quantum stability NeurIPS 2021 Probabilistic task modelling for meta-learning UAI 2021 Probing Multilingual Language Models for Discourse ACL 2021 Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining ICCV 2021 Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021 Progressive Feature Interaction Search for Deep Sparse Network NeurIPS 2021 Progressive Generation of Long Text with Pretrained Language Models NAACL 2021 Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021 Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing EACL 2021 proScript: Partially Ordered Scripts Generation EMNLP 2021