Vincent Dumoulin
7 papers · 2017–2023 · 5 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 ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Keywords
transfer learning
(4)
few-shot learning
(2)
domain generalization
(2)
feature reuse
(2)
knowledge distillation
(1)
data augmentation
(1)
source-free domain adaptation
(1)
deep learning
(1)
out-of-distribution generalization
(1)
gradient descent
(1)
distribution shift
(1)
generative model
(1)
generative adversarial network
(1)
linear probing
(1)
frequency analysis
(1)
dataset benchmark
(1)
intermediate representation
(1)
few-shot classification
(1)
wasserstein gan
(1)
gradient penalty
(1)
Papers
In Search for a Generalizable Method for Source Free Domain Adaptation
ICML 2023
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
ICML 2022
Proper Reuse of Image Classification Features Improves Object Detection
CVPR 2022
Impact of Aliasing on Generalization in Deep Convolutional Networks
ICCV 2021
Learning a Universal Template for Few-shot Dataset Generalization
ICML 2021
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
ICLR 2020
Improved Training of Wasserstein GANs
NeurIPS 2017