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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Convergence Properties of Stochastic Hypergradients AISTATS 2021
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines INTERSPEECH 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021
Neural Architecture Search without Training ICML 2021
Vector Quantized Models for Planning ICML 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021
Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021
Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ICML 2021
Multi-Task Reinforcement Learning with Context-based Representations ICML 2021
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
Learning to Generate Noise for Multi-Attack Robustness ICML 2021
Data Augmentation for Meta-Learning ICML 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021
ChaCha for Online AutoML ICML 2021