Eren Manavoglu
YOU?
Author Swipe
View article: Efficient Long Sequence Modeling via State Space Augmented Transformer
Efficient Long Sequence Modeling via State Space Augmented Transformer Open
Transformer models have achieved superior performance in various natural language processing tasks. However, the quadratic computational cost of the attention mechanism limits its practicality for long sequences. There are existing attenti…
View article: Representation learning for clustering via building consensus
Representation learning for clustering via building consensus Open
In this paper, we focus on unsupervised representation learning for clustering of images. Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated t…
View article: Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning Open
Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated through data augmentation techniques) must either be closer in the representation space, or…
View article: Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building Consensus Open
In this paper, we focus on unsupervised representation learning for clustering of images. Recent advances in deep clustering and unsupervised representation learning are based on the idea that different views of an input image (generated t…
View article: Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision Open
Contextual bandits are a common problem faced by machine learning practitioners in domains as diverse as hypothesis testing to product recommendations. There have been a lot of approaches in exploiting rich data representations for context…
View article: Data Transformation Insights in Self-supervision with Clustering Tasks
Data Transformation Insights in Self-supervision with Clustering Tasks Open
Self-supervision is key to extending use of deep learning for label scarce domains. For most of self-supervised approaches data transformations play an important role. However, up until now the impact of transformations have not been studi…
View article: A Unified Batch Online Learning Framework for Click Prediction
A Unified Batch Online Learning Framework for Click Prediction Open
We present a unified framework for Batch Online Learning (OL) for Click Prediction in Search Advertisement. Machine Learning models once deployed, show non-trivial accuracy and calibration degradation over time due to model staleness. It i…
View article: Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks Open
In real world systems, the predictions of deployed Machine Learned models affect the training data available to build subsequent models. This introduces a bias in the training data that needs to be addressed. Existing solutions to this pro…