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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66

53

67

103

206

482

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1,124

1,566

1,867

2,410

2,658

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Papers (including subtopics)

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NeurIPS 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization CVPR 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification NeurIPS 2024 Fast Ensembling with Diffusion Schrödinger Bridge ICLR 2024 FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes NAACL 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification NeurIPS 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NeurIPS 2024 Fast Value Tracking for Deep Reinforcement Learning ICLR 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ICLR 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Automatic Differentiation JMLR 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024