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Papers
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
NAACL 2024
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World
CVPR 2024
Deceptive Fairness Attacks on Graphs via Meta Learning
ICLR 2024
Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
ICML 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
ECCV 2024
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
ICML 2024
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
ICML 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
ICML 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer
ICML 2024
Learning to Continually Learn with the Bayesian Principle
ICML 2024
Learning to Explore for Stochastic Gradient MCMC
ICML 2024
Learning Universal Predictors
ICML 2024
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
ICLR 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NeurIPS 2024
Meta Learning in Bandits within shared affine Subspaces
AISTATS 2024
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
Interspeech 2024
Metalearning with Very Few Samples Per Task
COLT 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
ICML 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
CoRL 2024
PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring
COLING 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
EMNLP 2024
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
ICML 2024