Nicolas Ballas
27 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (12) πΊοΈ Taxonomy Completionist (45)
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Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(45)
π
Renaissance Researcher
(6)
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Keyword Trendsetter Combo
(3)
π₯
Mega-Team
(22)
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Triple Crown
π₯
Unstoppable
(11)
ποΈ
Keyword Collector
(81)
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Century Club
(27)
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Conference Pioneer
Conferences
ICML (7)
ICLR (6)
ICCV (5)
CVPR (3)
NIPS (3)
ECCV (2)
CLEAR (1)
Top co-authors
Keywords
representation learning
(2)
video prediction
(2)
image classification
(2)
self-supervised learning
(2)
contrastive learning
(2)
distributed learning
(2)
attention mechanism
(2)
multi-modal learning
(2)
stochastic gradient descent
(1)
adversarial robustness
(1)
generative modeling
(1)
few-shot learning
(1)
action recognition
(1)
variational inference
(1)
vision transformer
(1)
visual question answering
(1)
semi-supervised learning
(1)
gradient-based optimization
(1)
metric learning
(1)
causal discovery
(1)
Papers
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
Scaling Language-Free Visual Representation Learning
ICCV 2025
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
ICLR 2025
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
CVPR 2024
Discovering Environments with XRM
ICML 2024
Stochastic positional embeddings improve masked image modeling
ICML 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
ICML 2024
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
ICLR 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
VIM: Variational Independent Modules for Video Prediction
CLEAR 2022
Masked Siamese Networks for Label-Efficient Learning
ECCV 2022
Neural Attentive Circuits
NIPS 2022
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples
ICCV 2021
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
ICLR 2020
Proposal-based Video Completion
ECCV 2020
Improved Conditional VRNNs for Video Prediction
ICCV 2019
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
ICLR 2019
Stochastic Gradient Push for Distributed Deep Learning
ICML 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
NIPS 2019
Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
NIPS 2018
Residual Connections Encourage Iterative Inference
ICLR 2018
A Closer Look at Memorization in Deep Networks
ICML 2017
A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering
CVPR 2017
Dynamic Capacity Networks
ICML 2016
Describing Videos by Exploiting Temporal Structure
ICCV 2015
Space-Time Robust Representation for Action Recognition
ICCV 2013