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Meta-Learning

1524 directly classified papers

Papers per year

Papers

FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
In-Context Learning State Vector with Inner and Momentum Optimization NIPS 2024
Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NIPS 2024
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NIPS 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024
IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models COLING 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NIPS 2024
Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
How Does In-Context Learning Help Prompt Tuning? EACL 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NIPS 2024
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach IJCAI 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024
PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024