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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)

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning NIPS 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data NIPS 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
Robust and differentially private mean estimation NIPS 2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity NIPS 2021
Understanding Partial Multi-Label Learning via Mutual Information NIPS 2021
Learning to Learn Graph Topologies NIPS 2021
Automatic Unsupervised Outlier Model Selection NIPS 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NIPS 2021
Diverse Message Passing for Attribute with Heterophily NIPS 2021
Representation Learning Beyond Linear Prediction Functions NIPS 2021
Learning where to learn: Gradient sparsity in meta and continual learning NIPS 2021
Domain Invariant Representation Learning with Domain Density Transformations NIPS 2021
Imitation with Neural Density Models NIPS 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NIPS 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NIPS 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NIPS 2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NIPS 2021
Subgraph Federated Learning with Missing Neighbor Generation NIPS 2021
Efficient Learning of Discrete-Continuous Computation Graphs NIPS 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NIPS 2021
Sim and Real: Better Together NIPS 2021
Teachable Reinforcement Learning via Advice Distillation NIPS 2021
On the Universality of Graph Neural Networks on Large Random Graphs NIPS 2021