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20162026
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5 citations · 15 across the 9 of their papers we have counts for

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cs.CV2024

Random Representations Outperform Online Continually Learned Representations

Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru +3

Continual learning has primarily focused on the issue of catastrophic forgetting and the associated stability-plasticity tradeoffs. However, little attention has been paid to the e…

cs.CV20231 cited

Generalized Sum Pooling for Metric Learning

Yeti Z. Gurbuz, Ozan Sener, A. Aydın Alatan

A common architectural choice for deep metric learning is a convolutional neural network followed by global average pooling (GAP). Albeit simple, GAP is a highly effective way to a…

cs.CV2023

Online Continual Learning Without the Storage Constraint

Ameya Prabhu, Zhipeng Cai, Puneet Dokania +3

Traditional online continual learning (OCL) research has primarily focused on mitigating catastrophic forgetting with fixed and limited storage allocation throughout an agent's lif…

cs.CV20221 cited

Improving information retention in large scale online continual learning

Zhipeng Cai, Vladlen Koltun, Ozan Sener

Given a stream of data sampled from non-stationary distributions, online continual learning (OCL) aims to adapt efficiently to new data while retaining existing knowledge. The typi…

cs.CV2018

Generalizing to Unseen Domains via Adversarial Data Augmentation

Riccardo Volpi, Hongseok Namkoong, Ozan Sener +3

We are concerned with learning models that generalize well to different \emph{unseen} domains. We consider a worst-case formulation over data distributions that are near the source…

cs.CV2016

Unsupervised Semantic Action Discovery from Video Collections

Ozan Sener, Amir Roshan Zamir, Chenxia Wu +2

Human communication takes many forms, including speech, text and instructional videos. It typically has an underlying structure, with a starting point, ending, and certain objectiv…