← Authors

Jonathon Shlens

31 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (42) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) πŸ‘₯ Mega-Team (23) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (90) πŸ’Ž Century Club (31) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸš€ Conference Pioneer ❓ The Questioner πŸ”₯ Unstoppable (9)

Conferences

CVPR (8) ECCV (7) ICCV (5) ICML (4) ICLR (3) NIPS (2) AISTATS (1) EMNLP (1)

Top co-authors

Barret Zoph (7) Benjamin Caine (6) Vijay Vasudevan (6) Jiquan Ngiam (5) Quoc V. Le (5) Yinfei Yang (4) Dragomir Anguelov (4) Tsung-Yi Lin (3) Ashish Vaswani (3) zhifeng Chen (3)

Keywords

image classification (8) transfer learning (5) object detection (4) contrastive learning (3) convolutional neural network (3) representation learning (2) image retrieval (2) autonomous driving (2) instance segmentation (2) semantic segmentation (1) computer vision (1) feature extraction (1) zero-shot learning (1) sparse representation (1) model architecture (1) domain adaptation (1) confidence calibration (1) domain generalization (1) multimodal learning (1) semi-supervised learning (1)

Papers

Towards flexible perception with visual memory ICML 2025
Learning Visual Composition through Improved Semantic Guidance CVPR 2025
MOFI: Learning Image Representations from Noisy Entity Annotated Images ICLR 2024
Robustness in Multimodal Learning under Train-Test Modality Mismatch ICML 2023
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens EMNLP 2023
Perceptual Grouping in Contrastive Vision-Language Models ICCV 2023
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents ICLR 2022
Mitigating Bias in Calibration Error Estimation AISTATS 2022
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds ECCV 2022
Revisiting ResNets: Improved Training and Scaling Strategies NIPS 2021
Soft Calibration Objectives for Neural Networks NIPS 2021
Bottleneck Transformers for Visual Recognition CVPR 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021
Streaming Object Detection for 3-D Point Clouds ECCV 2020
Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020
Learning Data Augmentation Strategies for Object Detection ECCV 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset CVPR 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity ICML 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation ECCV 2020
Attention Augmented Convolutional Networks ICCV 2019
A Learned Representation for Scalable Vector Graphics ICCV 2019
Do Better ImageNet Models Transfer Better? CVPR 2019
Learning a neural response metric for retinal prosthesis ICLR 2018
Progressive Neural Architecture Search ECCV 2018
A Dataset and Architecture for Visual Reasoning with a Working Memory ECCV 2018
Learning Transferable Architectures for Scalable Image Recognition CVPR 2018
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video CVPR 2017
Pixel Recursive Super Resolution ICCV 2017
Conditional Image Synthesis with Auxiliary Classifier GANs ICML 2017
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine CVPR 2013