Search Results for author: Faruk Ahmed

Found 14 papers, 4 papers with code

A Comprehensive Literature Review on Sweet Orange Leaf Diseases

no code implementations4 Dec 2023 Yousuf Rayhan Emon, Md Golam Rabbani, Dr. Md. Taimur Ahad, Faruk Ahmed

This comprehensive literature review is systematically based on leaf disease and machine learning methodologies applied to the detection of damaged leaves via image classification.

Image Classification Management

Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review

no code implementations6 Nov 2023 Faruk Ahmed, Md. Taimur Ahad, Yousuf Rayhan Emon

This paper delivers a systematic review of the literature on machine learning methodologies applied to diagnose tea leaf disease via image classification.

Image Classification Transfer Learning

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology

no code implementations20 Oct 2023 Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Greg S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner

Foundation models in histopathology that learn general representations across a wide range of tissue types, diagnoses, and magnifications offer the potential to reduce the data, compute, and technical expertise necessary to develop task-specific deep learning models with the required level of model performance.

Self-Supervised Learning

Systematic generalisation with group invariant predictions

no code implementations ICLR 2021 Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron Courville

We consider situations where the presence of dominant simpler correlations with the target variable in a training set can cause an SGD-trained neural network to be less reliant on more persistently-correlating complex features.

Integrating Categorical Semantics into Unsupervised Domain Translation

1 code implementation ICLR 2021 Samuel Lavoie, Faruk Ahmed, Aaron Courville

While unsupervised domain translation (UDT) has seen a lot of success recently, we argue that mediating its translation via categorical semantic features could broaden its applicability.

Object Translation

Detecting semantic anomalies

1 code implementation13 Aug 2019 Faruk Ahmed, Aaron Courville

We critically appraise the recent interest in out-of-distribution (OOD) detection and question the practical relevance of existing benchmarks.

Anomaly Detection Multi-Task Learning +2

On Difficulties of Probability Distillation

no code implementations27 Sep 2018 Chin-wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste, Aaron Courville

Probability distillation has recently been of interest to deep learning practitioners as it presents a practical solution for sampling from autoregressive models for deployment in real-time applications.

Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs

no code implementations ICCV 2015 Faruk Ahmed, Dany Tarlow, Dhruv Batra

Currently, there are two dominant approaches: the first approximates the Expected-IoU (EIoU) score as Expected-Intersection-over-Expected-Union (EIoEU); and the second approach is to compute exact EIoU but only over a small set of high-quality candidate solutions.

Image Segmentation Segmentation +1

Candidate Constrained CRFs for Loss-Aware Structured Prediction

no code implementations10 Dec 2014 Faruk Ahmed, Daniel Tarlow, Dhruv Batra

The result is that we can use loss-aware prediction methodology to improve performance of the highly tuned pipeline system.

Image Segmentation Semantic Segmentation +1

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