Meta-Learning

Approximately Equivariant Neural Processes NeurIPS 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Automatic Instruction Evolving for Large Language Models EMNLP 2024 AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search CVPR 2024 Base Models for Parabolic Partial Differential Equations UAI 2024 Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024 Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis ICLR 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024 Characterizing Text Datasets with Psycholinguistic Features EMNLP 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World CVPR 2024 Cooperative Meta-Learning with Gradient Augmentation UAI 2024 DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024 DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification AAAI 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024 Discovering modular solutions that generalize compositionally ICLR 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms ICLR 2024 Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024 Efficient Planning with Latent Diffusion ICLR 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024