Jessica Yung

3 papers · 2020–2021 · 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 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

CVPR (1) ECCV (1) NeurIPS (1)

Top co-authors

Alexander Kolesnikov (3) Lucas Beyer (3) Neil Houlsby (3) Xiaohua Zhai (3) Mario Lucic (2) Sylvain Gelly (2) Joan Puigcerver (2) Rob Romijnders (1) Michael Tschannen (1) Jakob Uszkoreit (1)

Research topics

Computer Vision (2) Deep Learning (2) Machine Learning (2) Architectures (2) Analysis (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

convolutional neural network (2) vision transformer (1) domain generalization (1) transfer learning (1) model robustness (1) out-of-distribution generalization (1) distribution shift (1) model scaling (1) distributional shift (1) multi-layer perceptron (1) regularization scheme (1) vision architecture (1) patch-based processing (1) image classification (1) patch-wise feature mixing (1)

Papers

MLP-Mixer: An all-MLP Architecture for Vision NeurIPS 2021 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 Big Transfer (BiT): General Visual Representation Learning ECCV 2020