Jonathon Shlens

Orcid: 0000-0001-9513-4244

According to our database1, Jonathon Shlens authored at least 72 papers between 2005 and 2024.

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Bibliography

2024
Towards flexible perception with visual memory.
CoRR, 2024

Capabilities of Gemini Models in Medicine.
CoRR, 2024

MOFI: Learning Image Representations from Noisy Entity Annotated Images.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
MOFI: Learning Image Representations from Noisy Entity Annotated Images.
CoRR, 2023

On Robustness in Multimodal Learning.
CoRR, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.
CoRR, 2023

Robustness in Multimodal Learning under Train-Test Modality Mismatch.
Proceedings of the International Conference on Machine Learning, 2023

Perceptual Grouping in Contrastive Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

STAIR: Learning Sparse Text and Image Representation in Grounded Tokens.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Scalable Scene Flow From Point Clouds in the Real World.
IEEE Robotics Autom. Lett., 2022

Perceptual Grouping in Vision-Language Models.
CoRR, 2022

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Mitigating Bias in Calibration Error Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Scene Transformer: A unified multi-task model for behavior prediction and planning.
CoRR, 2021

Pseudo-labeling for Scalable 3D Object Detection.
CoRR, 2021

Soft Calibration Objectives for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting ResNets: Improved Training and Scaling Strategies.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scaling Local Self-Attention for Parameter Efficient Visual Backbones.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bottleneck Transformers for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
CoRR, 2020

RandAugment: Practical Automated Data Augmentation with a Reduced Search Space.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Revisiting Spatial Invariance with Low-Rank Local Connectivity.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Data Augmentation Strategies for Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Streaming Object Detection for 3-D Point Clouds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving 3D Object Detection Through Progressive Population Based Augmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
RandAugment: Practical data augmentation with no separate search.
CoRR, 2019

StarNet: Targeted Computation for Object Detection in Point Clouds.
CoRR, 2019

Visual Wake Words Dataset.
CoRR, 2019

Using learned optimizers to make models robust to input noise.
CoRR, 2019

Using Videos to Evaluate Image Model Robustness.
CoRR, 2019

Accelerating Training of Deep Neural Networks with a Standardization Loss.
CoRR, 2019

A Fourier Perspective on Model Robustness in Computer Vision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stand-Alone Self-Attention in Vision Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Learned Representation for Scalable Vector Graphics.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Attention Augmented Convolutional Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Do Better ImageNet Models Transfer Better?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning a neural response metric for retinal prosthesis.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Dataset and Architecture for Visual Reasoning with a Working Memory.
Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Transferable Architectures for Scalable Image Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrent Segmentation for Variable Computational Budgets.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Progressive Neural Architecture Search.
CoRR, 2017

Conditional Image Synthesis with Auxiliary Classifier GANs.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Learned Representation For Artistic Style.
Proceedings of the 5th International Conference on Learning Representations, 2017

Pixel Recursive Super Resolution.
Proceedings of the IEEE International Conference on Computer Vision, 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PixColor: Pixel Recursive Colorization.
Proceedings of the British Machine Vision Conference 2017, 2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Net2Net: Accelerating Learning via Knowledge Transfer.
Proceedings of the 4th International Conference on Learning Representations, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016

Rethinking the Inception Architecture for Computer Vision.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Deep Networks With Large Output Spaces.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Adversarial Autoencoders.
CoRR, 2015

Explaining and Harnessing Adversarial Examples.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
A Tutorial on Independent Component Analysis.
CoRR, 2014

Notes on Kullback-Leibler Divergence and Likelihood.
CoRR, 2014

Notes on Generalized Linear Models of Neurons.
CoRR, 2014

A Light Discussion and Derivation of Entropy.
CoRR, 2014

A Tutorial on Principal Component Analysis.
CoRR, 2014

Zero-Shot Learning by Convex Combination of Semantic Embeddings.
Proceedings of the 2nd International Conference on Learning Representations, 2014

2013
Using Web Co-occurrence Statistics for Improving Image Categorization.
CoRR, 2013

DeViSE: A Deep Visual-Semantic Embedding Model.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
J. Comput. Neurosci., 2012

Three Controversial Hypotheses Concerning Computation in the Primate Cortex.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2007
Estimating Information Rates with Confidence Intervals in Neural Spike Trains.
Neural Comput., 2007

2005
Estimating Entropy Rates with Bayesian Confidence Intervals.
Neural Comput., 2005


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