Piotr Bojanowski

According to our database1, Piotr Bojanowski authored at least 57 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Vision Transformers Need Registers.
CoRR, 2023

Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions.
CoRR, 2023

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar.
CoRR, 2023

DINOv2: Learning Robust Visual Features without Supervision.
CoRR, 2023

The hidden uniform cluster prior in self-supervised learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-training 2L Submodels for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Dense Information Retrieval with Contrastive Learning.
Trans. Mach. Learn. Res., 2022

Co-training 2<sup>L</sup> Submodels for Visual Recognition.
CoRR, 2022

The Hidden Uniform Cluster Prior in Self-Supervised Learning.
CoRR, 2022

Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision.
CoRR, 2022

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.
CoRR, 2022

Memory-Augmented Reinforcement Learning for Image-Goal Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Masked Siamese Networks for Label-Efficient Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping.
Proceedings of the Conference on Robot Learning, 2022

2021
Augmenting Convolutional networks with attention-based aggregation.
CoRR, 2021

Towards Unsupervised Dense Information Retrieval with Contrastive Learning.
CoRR, 2021

XCiT: Cross-Covariance Image Transformers.
CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.
CoRR, 2021

Self-supervised Pretraining of Visual Features in the Wild.
CoRR, 2021

XCiT: Cross-Covariance Image Transformers.
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.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learning to Visually Navigate in Photorealistic Environments Without any Supervision.
CoRR, 2020

Pruning Convolutional Neural Networks with Self-Supervision.
CoRR, 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.
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.
CoRR, 2019

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features.
CoRR, 2019

Misspelling Oblivious Word Embeddings.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Attention Span in Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Training Hybrid Language Models by Marginalizing over Segmentations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Learning from Narrated Instruction Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Improving Supervised Bilingual Mapping of Word Embeddings.
CoRR, 2018

Colorless Green Recurrent Networks Dream Hierarchically.
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.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Word Vectors for 157 Languages.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Optimizing the Latent Space of Generative Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion.
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.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Enriching Word Vectors with Subword Information.
Trans. Assoc. Comput. Linguistics, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

Unsupervised Learning by Predicting Noise.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning from Video and Text via Large-Scale Discriminative Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Bag of Tricks for Efficient Text Classification.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Fast Linear Model for Knowledge Graph Embeddings.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
Learning to annotate dynamic video scenes. (Annotation automatique de scenes vidéo).
PhD thesis, 2016

FastText.zip: Compressing text classification models.
CoRR, 2016

A weakly-supervised discriminative model for audio-to-score alignment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Instance-Level Video Segmentation from Object Tracks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Unsupervised Learning from Narrated Instruction Videos.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Semidefinite and Spectral Relaxations for Multi-Label Classification.
CoRR, 2015

Alternative structures for character-level RNNs.
CoRR, 2015

Weakly-Supervised Alignment of Video with Text.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Weakly Supervised Action Labeling in Videos under Ordering Constraints.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Finding Actors and Actions in Movies.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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