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

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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

'5

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Papers (including subtopics)

Leveraging Language for Accelerated Learning of Tool Manipulation CoRL 2022 Leveraging Non-dialogue Summaries for Dialogue Summarization COLING 2022 Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios EMNLP 2022 Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022 Leveraging Similar Users for Personalized Language Modeling with Limited Data ACL 2022 Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer ACL 2022 LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases COLING 2022 LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 ICLR 2022 Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora ACL 2022 LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks NeurIPS 2022 Linearizing contextual bandits with latent state dynamics UAI 2022 Linking Emergent and Natural Languages via Corpus Transfer ICLR 2022 LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022 LITE: Intent-based Task Representation Learning Using Weak Supervision NAACL 2022 LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling EMNLP 2022 LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems AAAI 2022 LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework NAACL 2022 Localized Adversarial Domain Generalization CVPR 2022 Local Languages, Third Spaces, and other High-Resource Scenarios ACL 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning CVPR 2022 Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time AISTATS 2022 Local-to-global learning for iterative training of production SLU models on new features NAACL 2022 LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models EMNLP 2022 Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification IJCAI 2022