Meta-Learning

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NeurIPS 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 SigmML: Metric Meta-Learning for Writer Independent Offline Signature Verification in the Space of SPD Matrices WACV 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 Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards Equipping Transformer with the Ability of Systematic Compositionality AAAI 2024 Towards Human-like Learning from Relational Structured Data AAAI 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition ACL 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024