Alexander Kolesnikov

15

Papers

254

Total Citations

1

Affiliations

Affiliations

Google Research

Papers (15)

On Scaling Up a Multilingual Vision and Language Model

iCaRL: Incremental Classifier and Representation Learning

Revisiting Self-Supervised Visual Representation Learning

On Robustness and Transferability of Convolutional Neural Networks

LiT: Zero-Shot Transfer With Locked-Image Text Tuning

Knowledge Distillation: A Good Teacher Is Patient and Consistent

Scaling Vision Transformers

FlexiViT: One Model for All Patch Sizes

S4L: Self-Supervised Semi-Supervised Learning

Sigmoid Loss for Language Image Pre-Training

Big Transfer (BiT): General Visual Representation Learning

MLP-Mixer: An all-MLP Architecture for Vision

UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes

Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design

PixelCNN Models with Auxiliary Variables for Natural Image Modeling