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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality AACL 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022
Meta-learning via Language Model In-context Tuning ACL 2022
Feeding What You Need by Understanding What You Learned ACL 2022
Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data ACL 2022
Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation ACL 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022
R3 : Refined Retriever-Reader pipeline for Multidoc2dial ACL 2022
ActPerFL: Active Personalized Federated Learning ACL 2022
Do Data-based Curricula Work? ACL 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022
Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning AISTATS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption AISTATS 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
Meta Learning MDPs with linear transition models AISTATS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022