Chuming Li

According to our database1, Chuming Li authored at least 26 papers between 2019 and 2024.

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Bibliography

2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Masked Pretraining for Multi-Agent Decision Making.
CoRR, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.
CoRR, 2023

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Equal Loss: A Simple Loss Function for Noise Robust Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.
CoRR, 2021

Residual Relaxation for Multi-view Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DAM: Discrepancy Alignment Metric for Face Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BN-NAS: Neural Architecture Search with Batch Normalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Inception Convolution With Efficient Dilation Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
DETR for Pedestrian Detection.
CoRR, 2020

Adaptive Gradient Method with Resilience and Momentum.
CoRR, 2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models.
CoRR, 2020

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving One-Shot NAS by Suppressing the Posterior Fading.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cost-Efficient Scheduling of Bulk Transfers in Inter-Datacenter WANs.
IEEE/ACM Trans. Netw., 2019

Achieving Efficient Routing in Reconfigurable DCNs.
Proc. ACM Meas. Anal. Comput. Syst., 2019

AM-LFS: AutoML for Loss Function Search.
CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.
CoRR, 2019

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AM-LFS: AutoML for Loss Function Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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