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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)

Fast Adaptation with Linearized Neural Networks AISTATS 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Meta Learning in the Continuous Time Limit AISTATS 2021
Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation AISTATS 2021
Towards Flexible Device Participation in Federated Learning AISTATS 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Convergence Properties of Stochastic Hypergradients AISTATS 2021
Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021
Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021
Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021
Weak learning convex sets under normal distributions COLT 2021
Learning sparse mixtures of permutations from noisy information COLT 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021
Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021
On Language Models for Creoles CONLL 2021
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training CONLL 2021
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs CONLL 2021
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification CONLL 2021
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CONLL 2021
DeepI2P: Image-to-Point Cloud Registration via Deep Classification CVPR 2021
Learning To Count Everything CVPR 2021
Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021