Search Results for author: Bulent Yener

Found 11 papers, 4 papers with code

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading

no code implementations8 Mar 2024 Sudipta Paul, Bulent Yener, Amanda W. Lund

As C2P-GCN integrates the structural data of an entire WSI into a single graph, it allows our model to work with significantly fewer training data compared to the latest models for colorectal cancer.

graph construction whole slide images

Improving Neural Ranking Models with Traditional IR Methods

1 code implementation29 Aug 2023 Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bulent Yener

Neural ranking methods based on large transformer models have recently gained significant attention in the information retrieval community, and have been adopted by major commercial solutions.

Information Retrieval Retrieval

A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction

1 code implementation7 Aug 2023 Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bulent Yener

Causal knowledge extraction is the task of extracting relevant causes and effects from text by detecting the causal relation.

Binary Classification

Word Sense Induction with Knowledge Distillation from BERT

no code implementations20 Apr 2023 Anik Saha, Alex Gittens, Bulent Yener

This paper proposes a two-stage method to distill multiple word senses from a pre-trained language model (BERT) by using attention over the senses of a word in a context and transferring this sense information to fit multi-sense embeddings in a skip-gram-like framework.

Knowledge Distillation Language Modelling +3

Anti-Malware Sandbox Games

no code implementations28 Feb 2022 Sujoy Sikdar, Sikai Ruan, Qishen Han, Paween Pitimanaaree, Jeremy Blackthorne, Bulent Yener, Lirong Xia

We develop a game theoretic model of malware protection using the state-of-the-art sandbox method, to characterize and compute optimal defense strategies for anti-malware.

Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines

no code implementations25 Feb 2019 Aritra Chowdhury, Malik Magdin-Ismail, Bulent Yener

We show that algorithm selection and hyper-parameter optimization methods can be used to quantify the error contribution and that random search is able to quantify the contribution more accurately than Bayesian optimization.

Bayesian Optimization BIG-bench Machine Learning +2

Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines

1 code implementation21 Feb 2019 Aritra Chowdhury, Malik Magdon-Ismail, Bulent Yener

The agnostic and naive methodologies quantify the error contribution and propagation respectively from the computational steps, algorithms and hyperparameters in the image classification pipeline.

Bayesian Optimization BIG-bench Machine Learning +3

Learning filter widths of spectral decompositions with wavelets

1 code implementation NeurIPS 2018 Haidar Khan, Bulent Yener

Our results show that the WD layer can improve neural network based time series classifiers both in accuracy and interpretability by learning directly from the input signal.

Time Series Time Series Analysis +1

Cannot find the paper you are looking for? You can Submit a new open access paper.