Pieter-jan Kindermans
16 papers · 2012–2026 · 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 ↓+6 more ↓ Show less ↑
🗺️ Taxonomy Completionist (40) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🗃️
Keyword Collector
(72)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
📈
Trend Setter
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(10)
Optimization & Theory · Deep Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Optimization & Theory · Machine Learning
(5)
Computer Vision
(4)
Core Methods
(4)
Generation
(3)
Learning Types · Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Healthcare & Medicine
(1)
Keywords
neural architecture search
(4)
representation learning
(2)
neural network
(2)
image classification
(2)
benchmark evaluation
(2)
neural network interpretability
(2)
weight sharing
(2)
pattern attribution
(2)
deep neural network
(2)
video generation
(2)
story visualization
(1)
video understanding
(1)
stochastic gradient descent
(1)
feature importance
(1)
object detection
(1)
reinforcement learning
(1)
human motion
(1)
brain-computer interface
(1)
basis adaptation
(1)
transfer learning
(1)
Papers
What Are You Doing? A Closer Look at Controllable Human Video Generation
CVPR 2026
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
ICLR 2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
NeurIPS 2023
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
NeurIPS 2022
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
CVPR 2021
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
ECCV 2020
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS
CVPR 2020
Neural Predictor for Neural Architecture Search
ECCV 2020
A Benchmark for Interpretability Methods in Deep Neural Networks
NeurIPS 2019
iNNvestigate Neural Networks!
JMLR 2019
Don't Decay the Learning Rate, Increase the Batch Size
ICLR 2018
Learning how to explain neural networks: PatternNet and PatternAttribution
ICLR 2018
Understanding and Simplifying One-Shot Architecture Search
ICML 2018
An Empirical Study on The Properties of Random Bases for Kernel Methods
NeurIPS 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
NeurIPS 2017
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
NeurIPS 2012