conftrace_
← Artificial Intelligence
Artificial Intelligence ›

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
'05
'10
'15
'20
'25

Papers (including subtopics)

Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022
Neural Contextual Bandits without Regret AISTATS 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022
Sample-and-threshold differential privacy: Histograms and applications AISTATS 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022
A Bayesian Model for Online Activity Sample Sizes AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
Certifiably Robust Variational Autoencoders AISTATS 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022
Meta Learning MDPs with linear transition models AISTATS 2022
Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time AISTATS 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL AISTATS 2022
Hierarchical Bayesian Bandits AISTATS 2022
Federated Functional Gradient Boosting AISTATS 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022