Sotabase

Career

· Research Scientist, Meta AI Research (FAIR)2022–
· Ph.D. researcher, UC Berkeley, EECS Department2017–

Publications (43)

A ConvNet for the 2020s
Computer Vision and Pattern Recognition · 2022
7,220
cited
Rethinking the Value of Network Pruning
International Conference on Learning Representations · 2018
1,617
cited
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Computer Vision and Pattern Recognition · 2023
1,368
cited
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
International Conference on Machine Learning · 2019
1,099
cited
Snapshot Ensembles: Train 1, get M for free
International Conference on Learning Representations · 2017
1,043
cited
Few-Shot Object Detection via Feature Reweighting
IEEE International Conference on Computer Vision · 2018
807
cited
A Simple and Effective Pruning Approach for Large Language Models
International Conference on Learning Representations · 2023
685
cited
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
IEEE International Conference on Computer Vision · 2020
432
cited
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
Computer Vision and Pattern Recognition · 2020
224
cited
A New Meta-Baseline for Few-Shot Learning
arXiv.org · 2020
223
cited
Massive Activations in Large Language Models
arXiv.org · 2024
164
cited
Oxidation resistant germanium nanowires: bulk synthesis, long chain alkanethiol functionalization, and Langmuir-Blodgett assembly.
Journal of the American Chemical Society · 2005
139
cited
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
AAAI Conference on Artificial Intelligence · 2020
115
cited
Test-Time Training for Out-of-Distribution Generalization
arXiv.org · 2019
105
cited
Oxygen-deficient Molybdenum Oxide Nanosensitizers for Ultrasound-enhanced Cancer Metalloimmunotherapy.
Angewandte Chemie · 2023
95
cited
Manganese molybdate nanodots with dual amplification of STING activation for “cycle” treatment of metalloimmunotherapy
Bioactive Materials · 2023
61
cited
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
International Conference on Learning Representations · 2020
58
cited
Dropout Reduces Underfitting
International Conference on Machine Learning · 2023
57
cited
Manganese-doping titanium disulfide cascade nanobioreactors for sequential gas-sonodynamic strategy with immune checkpoint blockade therapy of cancer
Nano Today · 2022
42
cited
Regularization Matters in Policy Optimization
arXiv.org · 2019
37
cited
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Zhuang Liu | Researcher Profile | Sotabase | Sotabase