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)

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Scaling Few-Shot Learning for the Open World AAAI 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing EMNLP 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 SigmML: Metric Meta-Learning for Writer Independent Offline Signature Verification in the Space of SPD Matrices WACV 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 Stakeholder-oriented Decision Support for Auction-based Federated Learning IJCAI 2024 Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations EMNLP 2024 Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract) AAAI 2024 SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ICLR 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024