Armand Joulin

According to our database1, Armand Joulin authored at least 94 papers between 2010 and 2024.

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Bibliography

2024
Scalable Pre-training of Large Autoregressive Image Models.
CoRR, 2024

2023
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell., October, 2023

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

Atlas: Few-shot Learning with Retrieval Augmented Language Models.
J. Mach. Learn. Res., 2023

PaSS: Parallel Speculative Sampling.
CoRR, 2023

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

LLaMA: Open and Efficient Foundation Language Models.
CoRR, 2023

The effectiveness of MAE pre-pretraining for billion-scale pretraining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OmniMAE: Single Model Masked Pretraining on Images and Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ImageBind One Embedding Space to Bind Them All.
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

Few-shot Learning with Retrieval Augmented Language Models.
CoRR, 2022

Improving Wikipedia Verifiability with AI.
CoRR, 2022

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

Detecting Twenty-Thousand Classes Using Image-Level Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

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

Omnivore: A Single Model for Many Visual Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Beyond English-Centric Multilingual Machine Translation.
J. Mach. Learn. Res., 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

Training with Quantization Noise for Extreme Model Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Pretraining of 3D Features on any Point-Cloud.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An End-to-End Transformer Model for 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Beyond English-Centric Multilingual Machine Translation.
CoRR, 2020

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

Accessing Higher-level Representations in Sequential Transformers with Feedback Memory.
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

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

And the Bit Goes Down: Revisiting the Quantization of Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reducing Transformer Depth on Demand with Structured Dropout.
Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Pretraining Transfers Well Across Languages.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Libri-Light: A Benchmark for ASR with Limited or No Supervision.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Target Conditioning for One-to-Many Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB.
CoRR, 2019

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment.
CoRR, 2019

Why Build an Assistant in Minecraft?
CoRR, 2019

Augmenting Self-attention with Persistent Memory.
CoRR, 2019

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

Cooperative Learning of Disjoint Syntax and Semantics.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Hyper-alignment for Multilingual Word Embeddings.
Proceedings of the 7th International Conference on Learning Representations, 2019

Unsupervised Pre-Training of Image Features on Non-Curated Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Alignment of Embeddings with Wasserstein Procrustes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 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
Unsupervised Hyperalignment for Multilingual Word Embeddings.
CoRR, 2018

Improving Supervised Bilingual Mapping of Word Embeddings.
CoRR, 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

Efficient Large-Scale Multi-Modal Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Unbounded cache model for online language modeling with open vocabulary.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient softmax approximation for GPUs.
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

Variable Computation in Recurrent Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Improving Neural Language Models with a Continuous Cache.
Proceedings of the 5th International Conference on Learning Representations, 2017

CommAI: Evaluating the first steps towards a useful general AI.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Visual N-Grams from Web Data.
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
FastText.zip: Compressing text classification models.
CoRR, 2016

Learning Simple Algorithms from Examples.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Visual Features from Large Weakly Supervised Data.
Proceedings of the Computer Vision - ECCV 2016, 2016

Revisiting Visual Question Answering Baselines.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Roadmap Towards Machine Intelligence.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
Learning Longer Memory in Recurrent Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Alternative structures for character-level RNNs.
CoRR, 2015

Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Linking People in Videos with "Their" Names Using Coreference Resolution.
Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Image and Video Co-localization with Frank-Wolfe Algorithm.
Proceedings of the Computer Vision - ECCV 2014, 2014

Co-localization in Real-World Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Unsupervised Joint Object Discovery and Segmentation in Internet Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Recovering Stereo Pairs from Anaglyphs.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Convex optimization for cosegmentation. (Optimization convexe pour cosegmentation).
PhD thesis, 2012

A convex relaxation for weakly supervised classifiers.
Proceedings of the 29th International Conference on Machine Learning, 2012

Multi-class cosegmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties.
Proceedings of the 28th International Conference on Machine Learning, 2011

A graph-matching kernel for object categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Efficient Optimization for Discriminative Latent Class Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Discriminative clustering for image co-segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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