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Meta-Learning

1524 directly classified papers

Papers per year

Papers

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning AAAI 2023
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems AAAI 2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits NIPS 2023
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems NIPS 2023
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs AAAI 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning INTERSPEECH 2023
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023
Progressive Multi-View Human Mesh Recovery with Self-Supervision AAAI 2023
FedL2P: Federated Learning to Personalize NIPS 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023
Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023
Meta-Learning for Simple Regret Minimization AAAI 2023
Zero-Cost Operation Scoring in Differentiable Architecture Search AAAI 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion NIPS 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023