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Learning Paradigms

2,205 papers (6 classified directly here)

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

Meta-Learning (1,038) Federated Learning (969) Curriculum Learning (214)

Papers per year

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6
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Papers (including subtopics)

UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ICLR 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning ICLR 2024 Visually Guided Audio Source Separation With Meta Consistency Learning WACV 2024 Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method AAAI 2024 VRP-SAM: SAM with Visual Reference Prompt CVPR 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 Zero-Shot Task Adaptation with Relevant Feature Information AAAI 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NeurIPS 2023 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 Adaptive Compositional Continual Meta-Learning ICML 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging AAAI 2023 Adversarial Collaborative Learning on Non-IID Features ICML 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023