Meta-Learning

Combining Adversaries with Anti-adversaries in Training AAAI 2023 Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023 Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023 Cross-Modality Feature Fusion Network for Few-Shot 3D Point Cloud Classification WACV 2023 Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 Differentiable Instruction Optimization for Cross-Task Generalization ACL 2023 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023 Distributional Meta-Gradient Reinforcement Learning ICLR 2023 DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023 Diversity-Aware Meta Visual Prompting CVPR 2023 Domain-General Crowd Counting in Unseen Scenarios AAAI 2023 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023 Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023 Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors ICCV 2023 Enhanced Meta Label Correction for Coping with Label Corruption ICCV 2023 Estimating Large Language Model Capabilities without Labeled Test Data EMNLP 2023 Evidential Conditional Neural Processes AAAI 2023 Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification EMNLP 2023 Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023