Le Gan

Orcid: 0000-0002-8260-6932

According to our database1, Le Gan authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch.
CoRR, 2024

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring.
CoRR, 2024

DIDA: Denoised Imitation Learning based on Domain Adaptation.
CoRR, 2024

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisit the Essence of Distilling Knowledge through Calibration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping.
CoRR, 2023

Beyond probability partitions: Calibrating neural networks with semantic aware grouping.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes.
CoRR, 2021

Towards Enabling Meta-Learning from Target Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018
Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2018

Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Multisource Earth Observation Data for Land-Cover Classification Using Random Forest.
IEEE Geosci. Remote. Sens. Lett., 2018

A method of rice information extraction based on Particle Swarm Optimization SVM algorithm.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

2017
Dissimilarity-Weighted Sparse Representation for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

Kernel Fused Representation-Based Classifier for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2017


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