conftrace_
← Machine Learning
Machine Learning ›

Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

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

Papers per year

1
6
3
175
315
'05
'10
'15
'20
'25

Papers (including subtopics)

Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021
Learning a Universal Template for Few-shot Dataset Generalization ICML 2021
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Federated Composite Optimization ICML 2021
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Federated Learning with Fair Averaging IJCAI 2021
Hierarchical Class-Based Curriculum Loss IJCAI 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning IJCAI 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021