Piotr Bojanowski

According to our database¹, Piotr Bojanowski authored at least 61 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

DINOv2: Learning Robust Visual Features without Supervision.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

You Don't Need Data-Augmentation in Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning.

[BibT_eX]

[DOI]

CoRR, 2024

Vision Transformers Need Registers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions.

[BibT_eX]

[DOI]

CoRR, 2023

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar.

[BibT_eX]

[DOI]

CoRR, 2023

DINOv2: Learning Robust Visual Features without Supervision.

[BibT_eX]

[DOI]

CoRR, 2023

The hidden uniform cluster prior in self-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-training 2L Submodels for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Dense Information Retrieval with Contrastive Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Co-training 2<sup>L</sup> Submodels for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

The Hidden Uniform Cluster Prior in Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

Memory-Augmented Reinforcement Learning for Image-Goal Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Masked Siamese Networks for Label-Efficient Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Augmenting Convolutional networks with attention-based aggregation.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Unsupervised Dense Information Retrieval with Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

XCiT: Cross-Covariance Image Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.

[BibT_eX]

[DOI]

CoRR, 2021

Self-supervised Pretraining of Visual Features in the Wild.

[BibT_eX]

[DOI]

CoRR, 2021

XCiT: Cross-Covariance Image Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emerging Properties in Self-Supervised Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning to Visually Navigate in Photorealistic Environments Without any Supervision.

[BibT_eX]

[DOI]

CoRR, 2020

Pruning Convolutional Neural Networks with Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment.

[BibT_eX]

[DOI]

CoRR, 2019

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features.

[BibT_eX]

[DOI]

CoRR, 2019

Misspelling Oblivious Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Pre-Training of Image Features on Non-Curated Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Attention Span in Transformers.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Training Hybrid Language Models by Marginalizing over Segmentations.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning from Narrated Instruction Videos.

[BibT_eX]

[DOI]

Jean-Baptiste Alayrac

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Improving Supervised Bilingual Mapping of Word Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Colorless Green Recurrent Networks Dream Hierarchically.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Advances in Pre-Training Distributed Word Representations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Word Vectors for 157 Languages.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Optimizing the Latent Space of Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Clustering for Unsupervised Learning of Visual Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Enriching Word Vectors with Subword Information.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Unsupervised Learning by Predicting Noise.

[BibT_eX]

[DOI]

Piotr Bojanowski

Armand Joulin

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning from Video and Text via Large-Scale Discriminative Clustering.

[BibT_eX]

[DOI]

Antoine Miech

Jean-Baptiste Alayrac

Piotr Bojanowski

Ivan Laptev

Josef Sivic

Proceedings of the IEEE International Conference on Computer Vision, 2017

Bag of Tricks for Efficient Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Fast Linear Model for Knowledge Graph Embeddings.

[BibT_eX]

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Learning to annotate dynamic video scenes. (Annotation automatique de scenes vidéo).

[BibT_eX]

[DOI]

Piotr Bojanowski

PhD thesis, 2016

FastText.zip: Compressing text classification models.

[BibT_eX]

[DOI]

CoRR, 2016

A weakly-supervised discriminative model for audio-to-score alignment.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Instance-Level Video Segmentation from Object Tracks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Unsupervised Learning from Narrated Instruction Videos.

[BibT_eX]

[DOI]

Jean-Baptiste Alayrac

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Semidefinite and Spectral Relaxations for Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2015

Alternative structures for character-level RNNs.

[BibT_eX]

[DOI]

Piotr Bojanowski

Armand Joulin

Tomás Mikolov

CoRR, 2015

Weakly-Supervised Alignment of Video with Text.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Weakly Supervised Action Labeling in Videos under Ordering Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Finding Actors and Actions in Movies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Piotr Bojanowski

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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