Zhuang Liu
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Zhuang Liucomputer-science Degrees
Computer Science
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Machine Learning
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Artificial Intelligence
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Computer Science
Zhuang Liu's Degrees
- Bachelors Computer Science Tsinghua University
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(Suggest an Edit or Addition)Zhuang Liu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Densely Connected Convolutional Networks (2016) (25003)
- Deep Networks with Stochastic Depth (2016) (1800)
- Learning Efficient Convolutional Networks through Network Slimming (2017) (1650)
- Rethinking the Value of Network Pruning (2018) (1004)
- A ConvNet for the 2020s (2022) (925)
- Snapshot Ensembles: Train 1, get M for free (2017) (661)
- DSOD: Learning Deeply Supervised Object Detectors from Scratch (2017) (530)
- Few-Shot Object Detection via Feature Reweighting (2018) (405)
- Test-Time Training with Self-Supervision for Generalization under Distribution Shifts (2019) (283)
- Convolutional Networks with Dense Connectivity (2019) (228)
- A New Meta-Baseline for Few-Shot Learning (2020) (163)
- MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2020) (107)
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning (2020) (98)
- Few Sample Knowledge Distillation for Efficient Network Compression (2018) (84)
- Test-Time Training for Out-of-Distribution Generalization (2019) (71)
- Object Detection from Scratch with Deep Supervision (2018) (53)
- Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning (2020) (52)
- Contrastive Learning for Recommender System (2021) (28)
- Regularization Matters in Policy Optimization (2019) (27)
- Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control (2020) (25)
- Rethinking Image Mixture for Unsupervised Visual Representation Learning (2020) (21)
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders (2023) (16)
- Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space (2022) (16)
- Knowledge Distillation from Few Samples (2018) (15)
- Transferable Recognition-Aware Image Processing (2019) (9)
- Anytime Dense Prediction with Confidence Adaptivity (2021) (5)
- MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2022) (3)
- Exploring Simple and Transferable Recognition-Aware Image Processing (2019) (2)
- Multi-Modal Contrastive Pre-training for Recommendation (2022) (2)
- CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations (2022) (2)
- Dropout Reduces Underfitting (2023) (1)
- Confidence Adaptive Anytime Pixel-Level Recognition (2021) (1)
- CONTINUOUS CONTROL (2021) (0)
- Appendix: A ConvNet for the 2020s (2022) (0)
- Test-Time Training for Generalization under Distribution Shifts (2020) (0)
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