conftrace_

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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Papers (including subtopics)

Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 HyperFast: Instant Classification for Tabular Data AAAI 2024 IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training COLING 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NeurIPS 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024 Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024 Improving Convergence and Generalization Using Parameter Symmetries ICLR 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 Intelligent Agents for Auction-based Federated Learning: A Survey IJCAI 2024 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering NAACL 2024 IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models COLING 2024 Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024 Knowledge Fusion By Evolving Weights of Language Models ACL 2024 KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training AAAI 2024 Language-Guided Transformer for Federated Multi-Label Classification AAAI 2024 Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024 Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning CVPR 2024