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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96

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Papers (including subtopics)

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization AAAI 2024 Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning NAACL 2024 Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024 On Convergence of Federated Averaging Langevin Dynamics UAI 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 One-shot Empirical Privacy Estimation for Federated Learning ICLR 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 On the Inductive Bias of Stacking Towards Improving Reasoning NeurIPS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data NeurIPS 2024 On the Role of Server Momentum in Federated Learning AAAI 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset NeurIPS 2024 Open-Vocabulary Federated Learning with Multimodal Prototyping NAACL 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024