Search Results for author: Hossein Hajimirsadeghi

Found 14 papers, 1 papers with code

Stop Overcomplicating Selective Classification: Use Max-Logit

no code implementations17 Jun 2022 Leo Feng, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Amir Abdi

Finally, inspired by our superior selection mechanism, we propose to further regularize the objective function with entropy-minimization.

Classification

Monotonicity as a requirement and as a regularizer: efficient methods and applications

no code implementations29 Sep 2021 Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori

We study the setting where risk minimization is performed over general classes of models and consider two cases where monotonicity is treated as either a requirement to be satisfied everywhere or a useful property.

Image Classification

TD-GEN: Graph Generation With Tree Decomposition

no code implementations20 Jun 2021 Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori

We propose TD-GEN, a graph generation framework based on tree decomposition, and introduce a reduced upper bound on the maximum number of decisions needed for graph generation.

Graph Generation

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

no code implementations25 Feb 2021 Yu Gong, Hossein Hajimirsadeghi, JiaWei He, Thibaut Durand, Greg Mori

Learning from heterogeneous data poses challenges such as combining data from various sources and of different types.

Imputation

Adapting Grad-CAM for Embedding Networks

1 code implementation17 Jan 2020 Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori

Then, we develop an efficient weight-transfer method to explain decisions for any image without back-propagation.

Image Captioning Image Classification

Variational Selective Autoencoder

no code implementations pproximateinference AABI Symposium 2019 Yu Gong, Hossein Hajimirsadeghi, JiaWei He, Megha Nawhal, Thibaut Durand, Greg Mori

Despite promising progress on unimodal data imputation (e. g. image inpainting), models for multimodal data imputation are far from satisfactory.

Image Inpainting Imputation

Graph Generation with Variational Recurrent Neural Network

no code implementations2 Oct 2019 Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori

Generating graph structures is a challenging problem due to the diverse representations and complex dependencies among nodes.

Graph Generation Graph structure learning

Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision

no code implementations30 Jun 2015 Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi

We propose a novel approach to identify one of the most significant dermoscopic criteria in the diagnosis of Cutaneous Melanoma: the Blue-whitish structure.

General Classification Image Classification +1

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