Piotr Bojanowski
28 papers · 2015–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(13)
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(116)
Venues
Top co-authors
Research topics
Deep Learning
(18)
Machine Learning
(17)
Learning Types Β· Machine Learning
(13)
Computer Vision
(10)
Architectures
(10)
Learning Types Β· Deep Learning
(9)
Artificial Intelligence
(7)
Core Methods
(7)
Natural Language Processing
(6)
Core AI
(5)
Analysis
(4)
Learning Paradigms
(4)
Processing
(4)
Techniques
(4)
Application Areas
(3)
Keywords
self-supervised learning
(10)
representation learning
(7)
image classification
(5)
semantic segmentation
(4)
vision transformer
(4)
unsupervised learning
(4)
neural network
(2)
word embedding
(2)
video segmentation
(2)
convex relaxation
(2)
convolutional neural network
(2)
feature learning
(2)
language modeling
(2)
weakly supervised learning
(2)
efficient computing
(2)
language model
(2)
knowledge distillation
(2)
self-attention mechanism
(1)
image generation
(1)
offline reinforcement learning
(1)
Papers
VGGT-β¦
CVPR 2026
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
CVPR 2025
Vision Transformers Need Registers
ICLR 2024
You Donβt Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
NeurIPS 2024
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
CVPR 2023
The hidden uniform cluster prior in self-supervised learning
ICLR 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
CoRL 2022
Masked Siamese Networks for Label-Efficient Learning
ECCV 2022
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples
ICCV 2021
XCiT: Cross-Covariance Image Transformers
NeurIPS 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
NeurIPS 2020
Adaptive Attention Span in Transformers
ACL 2019
Misspelling Oblivious Word Embeddings
NAACL 2019
Training Hybrid Language Models by Marginalizing over Segmentations
ACL 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
ICCV 2019
Colorless Green Recurrent Networks Dream Hierarchically
NAACL 2018
Deep Clustering for Unsupervised Learning of Visual Features
ECCV 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
EMNLP 2018
Optimizing the Latent Space of Generative Networks
ICML 2018
Bag of Tricks for Efficient Text Classification
EACL 2017
Learning From Video and Text via Large-Scale Discriminative Clustering
ICCV 2017
Parseval Networks: Improving Robustness to Adversarial Examples
ICML 2017
Unsupervised Learning by Predicting Noise
ICML 2017
Instance-Level Video Segmentation From Object Tracks
CVPR 2016
Unsupervised Learning From Narrated Instruction Videos
CVPR 2016
Weakly-Supervised Alignment of Video With Text
ICCV 2015