Ozan Sener
22 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π Conference Polyglot (8) π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(48)
π
Grand Slam
ποΈ
Keyword Collector
(95)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(22)
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
Conferences
NIPS (7)
CVPR (3)
ICCV (3)
ICLR (3)
ICML (3)
AAAI (1)
CORL (1)
RSS (1)
Top co-authors
Keywords
domain generalization
(3)
convolutional neural network
(3)
semantic parsing
(2)
derivative-free optimization
(2)
continual learning
(2)
gradient-based optimization
(2)
deep learning
(2)
non-convex optimization
(2)
semantic segmentation
(2)
representation learning
(2)
scene understanding
(2)
computer vision
(2)
distribution shift
(2)
online learning
(2)
multi-task learning
(1)
catastrophic forgetting
(1)
adversarial learning
(1)
metric learning
(1)
stochastic optimization
(1)
sample efficiency
(1)
Papers
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
ICML 2025
Robust Autonomy Emerges from Self-Play
ICML 2025
RanDumb: Random Representations Outperform Online Continually Learned Representations
NIPS 2024
Generalized Sum Pooling for Metric Learning
ICCV 2023
Generalizing Gaussian Smoothing for Random Search
ICML 2022
Domain Generalization without Excess Empirical Risk
NIPS 2022
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data
ICCV 2021
Learning to Guide Random Search
ICLR 2020
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
NIPS 2020
Modeling and Optimization Trade-off in Meta-learning
NIPS 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
CVPR 2020
A Stochastic Derivative Free Optimization Method with Momentum
ICLR 2020
Generalizing to Unseen Domains via Adversarial Data Augmentation
NIPS 2018
Active Learning for Convolutional Neural Networks: A Core-Set Approach
ICLR 2018
Multi-Task Learning as Multi-Objective Optimization
NIPS 2018
Deep Learning Under Privileged Information Using Heteroscedastic Dropout
CVPR 2018
image2mass: Estimating the Mass of an Object from Its Image
CORL 2017
Learning Transferrable Representations for Unsupervised Domain Adaptation
NIPS 2016
3D Semantic Parsing of Large-Scale Indoor Spaces
CVPR 2016
Unsupervised Semantic Parsing of Video Collections
ICCV 2015
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos
RSS 2015