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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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)

RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion COLING 2020 Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning AAAI 2020 Recovery of sparse linear classifiers from mixture of responses NeurIPS 2020 Regularizing CNN Transfer Learning With Randomised Regression CVPR 2020 Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models AAAI 2020 Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020 Reinforcement Learning for Integer Programming: Learning to Cut ICML 2020 Reinforcement Learning for Molecular Design Guided by Quantum Mechanics ICML 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction CoRL 2020 Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification Interspeech 2020 Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis ACL 2020 Releasing a Toolkit and Comparing the Performance of Language Embeddings Across Various Spoken Language Identification Datasets Interspeech 2020 Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition Interspeech 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020 Research on Task Discovery for Transfer Learning in Deep Neural Networks ACL 2020 Re-solve it: simulating the acquisition of core semantic competences from small data CoNLL 2020 Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective CVPR 2020 Rethinking Pre-training and Self-training NeurIPS 2020 Rethinking the Hyperparameters for Fine-tuning ICLR 2020 Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020 Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning IJCAI 2020 Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020 Revisiting Higher-Order Dependency Parsers ACL 2020 Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning AAAI 2020 Revisiting Self-Training for Neural Sequence Generation ICLR 2020