Diane Bouchacourt
21 papers · 2015–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(11)
π
Triple Crown
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(106)
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(12)
Core AI Β· Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(10)
Deep Learning
(9)
Learning Types Β· Deep Learning
(7)
Application Areas
(6)
Core Methods
(6)
Computer Vision
(5)
Optimization & Theory
(5)
Natural Language Processing
(3)
Core AI Β· Computer Vision
(3)
Analysis
(2)
Architectures
(2)
Generation
(2)
Keywords
representation learning
(5)
data augmentation
(4)
multi-agent system
(4)
distribution shift
(3)
image classification
(3)
emergent communication
(3)
emergent language
(3)
compositional generalization
(2)
domain generalization
(2)
neural network
(2)
vision-language model
(2)
object recognition
(2)
language emergence
(2)
structured prediction
(1)
computer vision
(1)
vision transformer
(1)
entropy minimization
(1)
variational inference
(1)
unified benchmark
(1)
model robustness
(1)
Papers
X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
ICLR 2025
Discovering Environments with XRM
ICML 2024
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
ICLR 2024
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
NeurIPS 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
NeurIPS 2024
Birth of a Transformer: A Memory Viewpoint
NeurIPS 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
ICLR 2023
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
NeurIPS 2023
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
ICLR 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
NeurIPS 2023
Understanding the detrimental class-level effects of data augmentation
NeurIPS 2023
Grounding inductive biases in natural images: invariance stems from variations in data
NeurIPS 2021
A Benchmark for Systematic Generalization in Grounded Language Understanding
NeurIPS 2020
Compositionality and Generalization In Emergent Languages
ACL 2020
Entropy Minimization In Emergent Languages
ICML 2020
Permutation Equivariant Models for Compositional Generalization in Language
ICLR 2020
EGG: a toolkit for research on Emergence of lanGuage in Games
EMNLP 2019
Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances
ACL 2019
How agents see things: On visual representations in an emergent language game
EMNLP 2018
DISCO Nets : DISsimilarity COefficients Networks
NeurIPS 2016
Entropy-Based Latent Structured Output Prediction
ICCV 2015