Lei Le

4 papers · 2017–2019 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🚀 Conference Pioneer 📈 Trend Setter

Venues

NeurIPS (2) AAAI (1) IJCAI (1)

Top co-authors

Martha White (4) Raksha Kumaraswamy (2) Andrew Patterson (2) Farzane Aminmansour (1) Franco Pestilli (1) Vincent Liu (1) Daniel Mitchell (1) Cesar F. Caiafa (1) Yisu Peng (1) Russell Greiner (1)

Research topics

Machine Learning (4) Core Methods (4) Reinforcement Learning (2) Methods (2) Deep Learning (1) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

neural network (2) reinforcement learning (1) policy evaluation (1) sparse coding (1) sparse representation (1) tensor decomposition (1) reconstruction error (1) tile coding (1) catastrophic interference (1) control policy (1) generalization performance (1) brain connectome (1) local minimum (1) uniform stability (1) diffusion imaging (1) supervised autoencoder (1) unsupervised regularizer (1) distributional regularizer (1) group-sparse factorization (1) representation learning (1)

Papers

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization NeurIPS 2019 The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019 Supervised autoencoders: Improving generalization performance with unsupervised regularizers NeurIPS 2018 Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017