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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)

CUNI System for the WMT19 Robustness Task ACL 2019
Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task ACL 2019
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles ACL 2019
NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task ACL 2019
Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019
Multi-modal Representation Learning for Successive POI Recommendation ACML 2019
Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019
Text Length Adaptation in Sentiment Classification ACML 2019
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users ACML 2019
Risk-Averse Stochastic Convex Bandit AISTATS 2019
Sketching for Latent Dirichlet-Categorical Models AISTATS 2019
A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Infinite Task Learning in RKHSs AISTATS 2019
Wasserstein regularization for sparse multi-task regression AISTATS 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning AISTATS 2019
Truncated Back-propagation for Bilevel Optimization AISTATS 2019
Multi-Task Time Series Analysis applied to Drug Response Modelling AISTATS 2019
Accelerating Imitation Learning with Predictive Models AISTATS 2019
Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning ALT 2019
Online Influence Maximization with Local Observations ALT 2019
On the Performance of Thompson Sampling on Logistic Bandits COLT 2019