conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

24

14

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29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022 Federated Self-supervised Speech Representations: Are We There Yet? Interspeech 2022 Federated Submodel Optimization for Hot and Cold Data Features NeurIPS 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022 FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning ICLR 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NeurIPS 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022 FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NeurIPS 2022 Fedvarp: Tackling the variance due to partial client participation in federated learning UAI 2022 FeLMi : Few shot Learning with hard Mixup NeurIPS 2022 Fenrir: Physics-Enhanced Regression for Initial Value Problems ICML 2022 FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos CVPR 2022 FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue EMNLP 2022 FETA: Towards Specializing Foundational Models for Expert Task Applications NeurIPS 2022 Few-Shot Adaptation of Pre-Trained Networks for Domain Shift IJCAI 2022 Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts EMNLP 2022 Few-Shot Audio-Visual Learning of Environment Acoustics NeurIPS 2022 Few-Shot Continual Active Learning by a Robot NeurIPS 2022