Jonathon Shlens
31 papers · 2013–2025 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
(16)
Machine Learning
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Computer Vision
(13)
Analysis
(8)
Core Methods
(8)
Artificial Intelligence
(7)
Architectures
(6)
Core AI Β· Artificial Intelligence
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Keywords
image classification
(8)
transfer learning
(5)
object detection
(4)
contrastive learning
(4)
image retrieval
(3)
convolutional neural network
(3)
autonomous driving
(3)
representation learning
(2)
instance segmentation
(2)
semantic segmentation
(1)
feature extraction
(1)
domain adaptation
(1)
computer vision
(1)
zero-shot learning
(1)
multimodal learning
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domain generalization
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attention mechanism
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semi-supervised learning
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embedding
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sparse representation
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Papers
Learning Visual Composition through Improved Semantic Guidance
CVPR 2025
Towards flexible perception with visual memory
ICML 2025
MOFI: Learning Image Representations from Noisy Entity Annotated Images
ICLR 2024
Perceptual Grouping in Contrastive Vision-Language Models
ICCV 2023
Robustness in Multimodal Learning under Train-Test Modality Mismatch
ICML 2023
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
EMNLP 2023
Mitigating Bias in Calibration Error Estimation
AISTATS 2022
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
ECCV 2022
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
ICLR 2022
Bottleneck Transformers for Visual Recognition
CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
ICCV 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NeurIPS 2021
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
CVPR 2021
Soft Calibration Objectives for Neural Networks
NeurIPS 2021
Improving 3D Object Detection through Progressive Population Based Augmentation
ECCV 2020
Learning Data Augmentation Strategies for Object Detection
ECCV 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
ECCV 2020
Revisiting Spatial Invariance with Low-Rank Local Connectivity
ICML 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
CVPR 2020
Streaming Object Detection for 3-D Point Clouds
ECCV 2020
A Learned Representation for Scalable Vector Graphics
ICCV 2019
Attention Augmented Convolutional Networks
ICCV 2019
Do Better ImageNet Models Transfer Better?
CVPR 2019
A Dataset and Architecture for Visual Reasoning with a Working Memory
ECCV 2018
Learning a neural response metric for retinal prosthesis
ICLR 2018
Learning Transferable Architectures for Scalable Image Recognition
CVPR 2018
Progressive Neural Architecture Search
ECCV 2018
Conditional Image Synthesis with Auxiliary Classifier GANs
ICML 2017
Pixel Recursive Super Resolution
ICCV 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
CVPR 2017
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
CVPR 2013