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← Authors

Alexander Kolesnikov

20 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (43)
πŸ—ΊοΈ Taxonomy Completionist (43) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (17) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (43) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (20) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (74) πŸ“ˆ Trend Setter

Conferences

CVPR (8) ICLR (3) ICML (3) NIPS (3) ICCV (2) ECCV (1)

Top co-authors

Lucas Beyer (17) Xiaohua Zhai (17) Neil Houlsby (9) Michael Tschannen (5) Matthias Minderer (5) Basil Mustafa (5) Mario Lucic (4) Daniel Keysers (4) Xiao Wang (4) Joan Puigcerver (4)

Research topics

Reinforcement Learning (1)

Keywords

image classification (6) vision transformer (5) transfer learning (4) model scaling (4) convolutional neural network (3) contrastive learning (2) computer vision (2) few-shot learning (2) self-supervised learning (2) representation learning (2) zero-shot transfer (2) reinforcement learning (1) domain generalization (1) policy optimization (1) unsupervised learning (1) knowledge distillation (1) model robustness (1) semi-supervised learning (1) visual question answering (1) object detection (1)

Papers

JetFormer: An autoregressive generative model of raw images and text ICLR 2025 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 Tuning Computer Vision Models With Task Rewards ICML 2023 Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design NIPS 2023 FlexiViT: One Model for All Patch Sizes CVPR 2023 Sigmoid Loss for Language Image Pre-Training ICCV 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023 Scaling Vision Transformers to 22 Billion Parameters ICML 2023 Scaling Vision Transformers CVPR 2022 UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes NIPS 2022 LiT: Zero-Shot Transfer With Locked-Image Text Tuning CVPR 2022 Knowledge Distillation: A Good Teacher Is Patient and Consistent CVPR 2022 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale ICLR 2021 MLP-Mixer: An all-MLP Architecture for Vision NIPS 2021 Big Transfer (BiT): General Visual Representation Learning ECCV 2020 Revisiting Self-Supervised Visual Representation Learning CVPR 2019 S4L: Self-Supervised Semi-Supervised Learning ICCV 2019 iCaRL: Incremental Classifier and Representation Learning CVPR 2017 PixelCNN Models with Auxiliary Variables for Natural Image Modeling ICML 2017