Ozan Sener
22 papers · 2015–2025 · 8 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
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πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Grand Slam
π
Keyword Champion
(4)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(114)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Optimization & Theory
(10)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(8)
Deep Learning
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Computer Vision
(4)
Core AI
(4)
Core Methods
(4)
Learning Paradigms
(4)
Analysis
(3)
Robotics
(2)
Keywords
convolutional neural network
(4)
derivative-free optimization
(4)
domain generalization
(3)
continuous control
(3)
online learning
(3)
distribution shift
(2)
representation learning
(2)
semantic segmentation
(2)
sample complexity
(2)
semantic parsing
(2)
deep learning
(2)
scene understanding
(2)
continual learning
(2)
random search
(2)
computer vision
(2)
gradient-based optimization
(2)
non-convex optimization
(2)
importance sampling
(2)
optimal transport
(2)
adversarial learning
(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
NeurIPS 2024
Generalized Sum Pooling for Metric Learning
ICCV 2023
Domain Generalization without Excess Empirical Risk
NeurIPS 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data
ICCV 2021
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
A Stochastic Derivative Free Optimization Method with Momentum
ICLR 2020
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
NeurIPS 2020
Learning to Guide Random Search
ICLR 2020
Modeling and Optimization Trade-off in Meta-learning
NeurIPS 2020
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
CVPR 2020
Active Learning for Convolutional Neural Networks: A Core-Set Approach
ICLR 2018
Deep Learning Under Privileged Information Using Heteroscedastic Dropout
CVPR 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
NeurIPS 2018
Multi-Task Learning as Multi-Objective Optimization
NeurIPS 2018
image2mass: Estimating the Mass of an Object from Its Image
CoRL 2017
3D Semantic Parsing of Large-Scale Indoor Spaces
CVPR 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation
NeurIPS 2016
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos
RSS 2015
Unsupervised Semantic Parsing of Video Collections
ICCV 2015