Cees Snoek
18 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(67)
❓
The Questioner
⚡
Prolific Year
(5)
💎
Century Club
(18)
🔥
Unstoppable
(7)
Conferences
NIPS (7)
ICML (3)
ECCV (2)
WACV (2)
AAAI (1)
ACL (1)
EACL (1)
IJCNLP (1)
Top co-authors
Keywords
variational inference
(7)
few-shot learning
(6)
semantic memory
(3)
word sense disambiguation
(2)
multi-task learning
(2)
flow matching
(2)
variational random feature
(2)
diffusion model
(2)
bayesian neural network
(2)
transfer learning
(2)
variational bayesian inference
(2)
random feature
(2)
kernel methods
(2)
domain generalization
(2)
knowledge distillation
(1)
knowledge transfer
(1)
self-supervised learning
(1)
uncertainty quantification
(1)
continual learning
(1)
image editing
(1)
Papers
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
WACV 2025
Flow Matching for Conditional Text Generation in a Few Sampling Steps
EACL 2024
Latent Space Editing in Transformer-Based Flow Matching
AAAI 2024
SIGMA: Sinkhorn-Guided Masked Video Modeling
ECCV 2024
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
ECCV 2024
Learning Unseen Modality Interaction
NIPS 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
NIPS 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NIPS 2023
Variational Model Perturbation for Source-Free Domain Adaptation
NIPS 2022
Association Graph Learning for Multi-Task Classification with Category Shifts
NIPS 2022
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
IJCNLP 2021
Variational Prototype Inference for Few-Shot Semantic Segmentation
WACV 2021
Kernel Continual Learning
ICML 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
Learning to Learn Kernels with Variational Random Features
ICML 2020
Learning to Learn Variational Semantic Memory
NIPS 2020
Hyperspherical Prototype Networks
NIPS 2019