David Rolnick
31 papers · 2018–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David Rolnick?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
13 papers whose co-authors appear nowhere else under this name
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
ICML 2025
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
AAAI 2025
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
ICML 2025
Insect Identification in the Wild: The AMI Dataset
ECCV 2024
Stealing part of a production language model
ICML 2024
Bugs in the Data: How ImageNet Misrepresents Biodiversity
AAAI 2023
Hidden Symmetries of ReLU Networks
ICML 2023
Normalization Layers Are All That Sharpness-Aware Minimization Needs
NeurIPS 2023
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning
NeurIPS 2022
Techniques for Symbol Grounding with SATNet
NeurIPS 2021
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
CVPR 2019
Experience Replay for Continual Learning
NeurIPS 2019
The power of deeper networks for expressing natural functions
ICLR 2018