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Learning Paradigms

14,108 papers (9 classified directly here)

Subtopics

Transfer Learning (8,166) Few-Shot Learning (2,562) Meta-Learning (1,529) Federated Learning (1,360) Zero-Shot Learning (867) Multi-Task Learning (135) Continual Learning (118) Domain Adaptation (117) Self-Supervised Learning (100) Active Learning (75) Semi-Supervised Learning (41) Unsupervised Learning (26) In-Context Learning (19) Weakly Supervised Learning (11) Domain Generalization (9)

Papers per year

4
19
58
1128
2227
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Papers (including subtopics)

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations ICML 2020
Planning to Explore via Self-Supervised World Models ICML 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards ICML 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics ICML 2020
Hypernetwork approach to generating point clouds ICML 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information ICML 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
Reinforcement Learning for Integer Programming: Learning to Cut ICML 2020
Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020
Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020
Single Point Transductive Prediction ICML 2020
GraphOpt: Learning Optimization Models of Graph Formation ICML 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020
On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020
Frustratingly Simple Few-Shot Object Detection ICML 2020
Deep Streaming Label Learning ICML 2020
Loss Function Search for Face Recognition ICML 2020
Learning Autoencoders with Relational Regularization ICML 2020
MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks ICML 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020
Robustifying Sequential Neural Processes ICML 2020
Federated Learning with Only Positive Labels ICML 2020