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)

Generalization in Instruction Following Systems NAACL 2021 Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NeurIPS 2021 Generalization Properties of hyper-RKHS and its Applications JMLR 2021 Generalized Domain Adaptation CVPR 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation ICCV 2021 Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish EACL 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021 GlobalPhone Mix-To-Separate Out of 2: A Multilingual 2000 Speakers Mixtures Database for Speech Separation Interspeech 2021 GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition ICCV 2021 GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings SemEval 2021 GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021 Golos: Russian Dataset for Speech Research Interspeech 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Gradient-based Hyperparameter Optimization Over Long Horizons NeurIPS 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021 Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation ICCV 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NeurIPS 2021 Gradient Inversion with Generative Image Prior NeurIPS 2021 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models ICLR 2021 GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021 Gradual Fine-Tuning for Low-Resource Domain Adaptation EACL 2021