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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2

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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)

RankNAS: Efficient Neural Architecture Search by Pairwise Ranking EMNLP 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving ICCV 2021 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets ICLR 2021 Rational LAMOL: A Rationale-based Lifelong Learning Framework ACL 2021 Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021 Realistic evaluation of transductive few-shot learning NeurIPS 2021 Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation EACL 2021 Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features Interspeech 2021 Recognizing Actions in Videos From Unseen Viewpoints CVPR 2021 Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ICML 2021 Rectifying the Shortcut Learning of Background for Few-Shot Learning NeurIPS 2021 Reformulating Zero-shot Action Recognition for Multi-label Actions NeurIPS 2021 Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021 Regularized Mutual Learning for Personalized Federated Learning ACML 2021 Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NeurIPS 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021 Related Named Entities Classification in the Economic-Financial Context EACL 2021 Relational Embedding for Few-Shot Classification ICCV 2021 Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs AAAI 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NeurIPS 2021 REPAINT: Knowledge Transfer in Deep Reinforcement Learning ICML 2021 Representation Learning Beyond Linear Prediction Functions NeurIPS 2021 Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021 Representation Learning Through Latent Canonicalizations WACV 2021