Armand Joulin
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Armand Joulincomputer-science Degrees
Computer Science
#6827
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#7193
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Computational Linguistics
#1262
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#1276
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Artificial Intelligence
#2618
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#2659
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#3907
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#4065
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Computer Science
Why Is Armand Joulin Influential?
(Suggest an Edit or Addition)Armand Joulin's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Enriching Word Vectors with Subword Information (2016) (7866)
- Bag of Tricks for Efficient Text Classification (2016) (3668)
- Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (2020) (1960)
- Deep Clustering for Unsupervised Learning of Visual Features (2018) (1844)
- Emerging Properties in Self-Supervised Vision Transformers (2021) (1457)
- Learning Word Vectors for 157 Languages (2018) (1089)
- Advances in Pre-Training Distributed Word Representations (2017) (1003)
- Deep Fragment Embeddings for Bidirectional Image Sentence Mapping (2014) (832)
- FastText.zip: Compressing text classification models (2016) (780)
- Discriminative clustering for image co-segmentation (2010) (489)
- Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets (2015) (371)
- Unsupervised Joint Object Discovery and Segmentation in Internet Images (2013) (368)
- Reducing Transformer Depth on Demand with Structured Dropout (2019) (341)
- Beyond English-Centric Multilingual Machine Translation (2020) (335)
- Optimizing the Latent Space of Generative Networks (2017) (327)
- LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference (2021) (309)
- Learning Visual Features from Large Weakly Supervised Data (2015) (301)
- Multi-class cosegmentation (2012) (296)
- Libri-Light: A Benchmark for ASR with Limited or No Supervision (2019) (288)
- CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data (2019) (276)
- Improving Neural Language Models with a Continuous Cache (2016) (266)
- Revisiting Visual Question Answering Baselines (2016) (262)
- A graph-matching kernel for object categorization (2011) (261)
- Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion (2018) (252)
- Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties (2011) (250)
- Unsupervised Learning by Predicting Noise (2017) (248)
- ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training (2021) (246)
- Learning Longer Memory in Recurrent Neural Networks (2014) (246)
- Efficient softmax approximation for GPUs (2016) (227)
- Unsupervised Pre-Training of Image Features on Non-Curated Data (2019) (217)
- Adaptive Attention Span in Transformers (2019) (201)
- Efficient Image and Video Co-localization with Frank-Wolfe Algorithm (2014) (194)
- XCiT: Cross-Covariance Image Transformers (2021) (183)
- Co-localization in Real-World Images (2014) (179)
- Self-supervised Pretraining of Visual Features in the Wild (2021) (171)
- Unsupervised Alignment of Embeddings with Wasserstein Procrustes (2018) (154)
- Unsupervised Pretraining Transfers Well Across Languages (2020) (152)
- Stock price jumps: news and volume play a minor role (2008) (151)
- CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web (2019) (144)
- Training with Quantization Noise for Extreme Model Compression (2020) (138)
- LLaMA: Open and Efficient Foundation Language Models (2023) (134)
- An End-to-End Transformer Model for 3D Object Detection (2021) (129)
- Detecting Twenty-Thousand Classes Using Image-Level Supervision (2022) (108)
- Self-Supervised Pretraining of 3D Features on any Point-Cloud (2021) (107)
- A Roadmap Towards Machine Intelligence (2015) (107)
- And the Bit Goes Down: Revisiting the Quantization of Neural Networks (2019) (103)
- Learning Simple Algorithms from Examples (2015) (98)
- Linking People in Videos with "Their" Names Using Coreference Resolution (2014) (93)
- Masked Siamese Networks for Label-Efficient Learning (2022) (92)
- Learning Visual N-Grams from Web Data (2016) (79)
- Efficient Large-Scale Multi-Modal Classification (2018) (78)
- Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples (2021) (76)
- Augmenting Self-attention with Persistent Memory (2019) (75)
- Omnivore: A Single Model for Many Visual Modalities (2022) (63)
- Few-shot Learning with Retrieval Augmented Language Models (2022) (62)
- Towards Unsupervised Dense Information Retrieval with Contrastive Learning (2021) (61)
- Unsupervised Hyperalignment for Multilingual Word Embeddings (2018) (55)
- A convex relaxation for weakly supervised classifiers (2012) (53)
- Unsupervised Dense Information Retrieval with Contrastive Learning (2021) (53)
- Variable Computation in Recurrent Neural Networks (2016) (51)
- Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision (2022) (49)
- Unbounded cache model for online language modeling with open vocabulary (2017) (49)
- Alternative structures for character-level RNNs (2015) (43)
- Cooperative Learning of Disjoint Syntax and Semantics (2019) (37)
- Fast Linear Model for Knowledge Graph Embeddings (2017) (34)
- OmniMAE: Single Model Masked Pretraining on Images and Videos (2022) (27)
- Efficient Optimization for Discriminative Latent Class Models (2010) (19)
- Training with Quantization Noise for Extreme Fixed-Point Compression (2020) (16)
- Why Build an Assistant in Minecraft? (2019) (16)
- CommAI: Evaluating the first steps towards a useful general AI (2017) (14)
- Recovering Stereo Pairs from Anaglyphs (2013) (14)
- Augmenting Convolutional networks with attention-based aggregation (2021) (13)
- Torchnet: An Open-Source Platform for (Deep) Learning Research (2016) (13)
- Learning to Visually Navigate in Photorealistic Environments Without any Supervision (2020) (10)
- Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment (2019) (10)
- Training Hybrid Language Models by Marginalizing over Segmentations (2019) (9)
- Accessing Higher-level Representations in Sequential Transformers with Feedback Memory (2020) (9)
- Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features (2019) (8)
- Improving Supervised Bilingual Mapping of Word Embeddings (2018) (8)
- Pruning Convolutional Neural Networks with Self-Supervision (2020) (8)
- Target Conditioning for One-to-Many Generation (2020) (6)
- Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions (2014) (4)
- DINOv2: Learning Robust Visual Features without Supervision (2023) (2)
- Learning Co-segmentation by Segment Swapping for Retrieval and Discovery (2021) (2)
- The effectiveness of MAE pre-pretraining for billion-scale pretraining (2023) (2)
- Finding Winning Tickets with Limited (or No) Supervision (2019) (1)
- Lossless Data Compression with Transformer (2019) (1)
- Improving Wikipedia Verifiability with AI (2022) (1)
- TIZATION OF NEURAL NETWORKS (2019) (0)
- EXT . ZIP : C OMPRESSING TEXT CLASSIFICATION MODELS (2016) (0)
- A ug 2 01 6 Bag of Tricks for Efficient Text Classification (2018) (0)
- Convex optimization for cosegmentation (2012) (0)
- Supplementary Material for Emerging Properties in Self-Supervised Vision Transformers (2021) (0)
- Supplemental Material for “ Training Convolutional Networks on Large Weakly Supervised Data ” (2015) (0)
- C L ] 2 8 M ar 2 01 8 Learning Word Vectors for 157 Languages (2018) (0)
- Recovering Stereo Pairs from Anaglyphs-Supplementary material (2013) (0)
- Recurrent Neural Networks (2015) (0)
- Convex optimization for cosegmentation. (Optimization convexe pour cosegmentation) (2012) (0)
- 3 0 O ct 2 01 7 Fast Linear Model for Knowledge Graph Embeddings (2018) (0)
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