Josip Djolonga
23 papers · 2013–2024 · 7 conferences · across top CS/AI conferences
Achievements
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š Academic Marathon (11) š Interdisciplinary Bridge š§ Keyword Pioneer š Conference Polyglot (7) š Cross-Pollinator (12)
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Conference Polyglot
(7)
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Academic Marathon
(11)
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Renaissance Researcher
(7)
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Mega-Team
(43)
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Dynamic Duo
(10)
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Topic Evolution
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Trend Setter
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Prolific Year
(5)
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Century Club
(23)
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Keyword Collector
(108)
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Unstoppable
(9)
Conferences
NIPS (9)
CVPR (4)
ICML (4)
AISTATS (2)
ICLR (2)
ICCV (1)
WACV (1)
Top co-authors
Keywords
variational inference
(7)
probabilistic modeling
(4)
object detection
(3)
transfer learning
(3)
model scaling
(3)
submodular optimization
(3)
markov random field
(3)
representation learning
(3)
few-shot learning
(2)
vision transformer
(2)
log-partition function
(2)
out-of-distribution generalization
(2)
convex optimization
(2)
bayesian inference
(2)
belief propagation
(2)
self-supervised learning
(2)
image segmentation
(2)
video understanding
(2)
partition function
(2)
submodular function
(2)
Papers
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
End-to-End Spatio-Temporal Action Localisation with Video Transformers
CVPR 2024
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Patch nā Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
NIPS 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Representation Learning From Videos In-the-Wild: An Object-Centric Approach
WACV 2021
On Robustness and Transferability of Convolutional Neural Networks
CVPR 2021
Revisiting the Calibration of Modern Neural Networks
NIPS 2021
Self-Supervised Learning of Video-Induced Visual Invariances
CVPR 2020
Precision-Recall Curves Using Information Divergence Frontiers
AISTATS 2020
You Only Train Once: Loss-Conditional Training of Deep Networks
ICLR 2020
On Mutual Information Maximization for Representation Learning
ICLR 2020
Fast Differentiable Sorting and Ranking
ICML 2020
Practical and Consistent Estimation of f-Divergences
NIPS 2019
Provable Variational Inference for Constrained Log-Submodular Models
NIPS 2018
Differentiable Learning of Submodular Models
NIPS 2017
Variational Inference in Mixed Probabilistic Submodular Models
NIPS 2016
Cooperative Graphical Models
NIPS 2016
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
AISTATS 2016
Higher-Order Inference for Multi-Class Log-Supermodular Models
ICCV 2015
Scalable Variational Inference in Log-supermodular Models
ICML 2015
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
NIPS 2014
High-Dimensional Gaussian Process Bandits
NIPS 2013