Jonathon Shlens

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

Achievements

+13 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)

🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (12) 👥 Mega-Team (23) 🌱 Topic Pioneer 🧬 Topic Evolution 🗃️ Keyword Collector (90) 💎 Century Club (31) 📈 Trend Setter ⚡ Prolific Year (5) 🚀 Conference Pioneer ❓ The Questioner 🔥 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