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Meta-Learning

1,529 papers

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Papers

Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023
Exploiting Inferential Structure in Neural Processes UAI 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023
Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition WACV 2023
GEMS: Generating Efficient Meta-Subnets WACV 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023
Meta-Learning for Adaptation of Deep Optical Flow Networks WACV 2023
Using natural language and program abstractions to instill human inductive biases in machines NIPS 2022
Conditional Meta-Learning of Linear Representations NIPS 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NIPS 2022
DivBO: Diversity-aware CASH for Ensemble Learning NIPS 2022
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification NIPS 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases NIPS 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms NIPS 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
Meta-Learning with Self-Improving Momentum Target NIPS 2022
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NIPS 2022
Meta-Reinforcement Learning with Self-Modifying Networks NIPS 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation NIPS 2022
Active Bayesian Causal Inference NIPS 2022
Non-stationary Bandits with Knapsacks NIPS 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD NIPS 2022