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Meta-Learning

973 papers

Papers per year

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1
122
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Papers

On the Generalizability and Predictability of Recommender Systems NIPS 2022
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis NIPS 2022
Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022
Efficient and Modular Implicit Differentiation NIPS 2022
Test Time Adaptation via Conjugate Pseudo-labels NIPS 2022
Meta-Learning with Self-Improving Momentum Target NIPS 2022
Gradient Descent: The Ultimate Optimizer NIPS 2022
Dataset Distillation using Neural Feature Regression 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
Discovered Policy Optimisation NIPS 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD NIPS 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NIPS 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NIPS 2022
Towards Theoretically Inspired Neural Initialization Optimization NIPS 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 2022
Multi-agent Dynamic Algorithm Configuration NIPS 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NIPS 2022
Task-level Differentially Private Meta Learning NIPS 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts NIPS 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NIPS 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
Exploring Example Influence in Continual Learning NIPS 2022