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conftrace_

meta learning

199 papers

ML

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