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07/20/2023
Clinical Trial Active Learning
This paper presents a novel approach to active learning that takes into ...
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05/24/2023
Clinically Labeled Contrastive Learning for OCT Biomarker Classification
This paper presents a novel positive and negative set selection strategy...
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04/28/2023
Exploiting the Distortion-Semantic Interaction in Fisheye Data
In this work, we present a methodology to shape a fisheye-specific repre...
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04/06/2023
Probing the Purview of Neural Networks via Gradient Analysis
We analyze the data-dependent capacity of neural networks and assess ano...
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02/11/2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
This paper conjectures and validates a framework that allows for action ...
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01/14/2023
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
In smart transportation, intelligent systems avoid potential collisions ...
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01/12/2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
This paper considers deep out-of-distribution active learning. In practi...
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01/10/2023
Explaining Deep Models through Forgettable Learning Dynamics
Even though deep neural networks have shown tremendous success in countl...
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12/15/2022
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation
Deep learning can extract rich data representations if provided sufficie...
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12/15/2022
Explainable Machine Learning for Hydrocarbon Prospect Risking
Hydrocarbon prospect risking is a critical application in geophysics pre...
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11/10/2022
On the Ramifications of Human Label Uncertainty
Humans exhibit disagreement during data labeling. We term this disagreem...
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11/09/2022
Clinical Contrastive Learning for Biomarker Detection
This paper presents a novel positive and negative set selection strategy...
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09/22/2022
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Clinical diagnosis of the eye is performed over multifarious data modali...
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09/17/2022
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
In this paper, we advocate for two stages in a neural network's decision...
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06/23/2022
Patient Aware Active Learning for Fine-Grained OCT Classification
This paper considers making active learning more sensible from a medical...
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06/16/2022
Gradient-Based Adversarial and Out-of-Distribution Detection
We propose to utilize gradients for detecting adversarial and out-of-dis...
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06/16/2022
Open-Set Recognition with Gradient-Based Representations
Neural networks for image classification tasks assume that any given ima...
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06/16/2022
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation
In seismic interpretation, pixel-level labels of various rock structures...
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03/08/2022
A Gating Model for Bias Calibration in Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) aims at training a model that can ...
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02/24/2022
Explanatory Paradigms in Neural Networks
In this article, we present a leap-forward expansion to the study of exp...
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01/17/2022
A novel attention model for salient structure detection in seismic volumes
A new approach to seismic interpretation is proposed to leverage visual ...
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08/22/2021
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection
We developed two machine learning frameworks that could assist in automa...
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03/23/2021
Contrastive Reasoning in Neural Networks
Neural networks represent data as projections on trained weights in a hi...
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03/23/2021
Extracting Causal Visual Features for Limited label Classification
Neural networks trained to classify images do so by identifying features...
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09/10/2020
Self-Supervised Annotation of Seismic Images using Latent Space Factorization
Annotating seismic data is expensive, laborious and subjective due to th...
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09/02/2020
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
Semantic segmentation is a scene understanding task at the heart of safe...
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08/21/2020
Robustness and Overfitting Behavior of Implicit Background Models
In this paper, we examine the overfitting behavior of image classificati...
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08/18/2020
Gradients as a Measure of Uncertainty in Neural Networks
Despite tremendous success of modern neural networks, they are known to ...
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08/13/2020
Novelty Detection Through Model-Based Characterization of Neural Networks
In this paper, we propose a model-based characterization of neural netwo...
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08/04/2020
Implicit Saliency in Deep Neural Networks
In this paper, we show that existing recognition and localization deep a...
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08/01/2020
Contrastive Explanations in Neural Networks
Visual explanations are logical arguments based on visual features that ...
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07/18/2020
Backpropagated Gradient Representations for Anomaly Detection
Learning representations that clearly distinguish between normal and abn...
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06/28/2020
Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
Seismic inversion refers to the process of estimating reservoir rock pro...
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03/16/2020
Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset
Tactile sensing or fabric hand plays a critical role in an individual's ...
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02/04/2020
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor
In this paper, we present an efficient and distinctive local descriptor,...
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08/29/2019
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
Traffic signs are critical for maintaining the safety and efficiency of ...
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08/27/2019
Distorted Representation Space Characterization Through Backpropagated Gradients
In this paper, we utilize weight gradients from backpropagation to chara...
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08/19/2019
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Recent applications of machine learning algorithms in the seismic domain...
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08/06/2019
Relative Afferent Pupillary Defect Screening through Transfer Learning
Abnormalities in pupillary light reflex can indicate optic nerve disorde...
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07/30/2019
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Although various image-based domain adaptation (DA) techniques have been...
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06/01/2019
Learning to Generate Grounded Image Captions without Localization Supervision
When generating a sentence description for an image, it frequently remai...
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05/24/2019
Texture retrieval using periodically extended and adaptive curvelets
Image retrieval is an important problem in the area of multimedia proces...
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05/23/2019
Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks
In this paper, we propose a multi-level texture encoding and representat...
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05/21/2019
Automated Pupillary Light Reflex Test on a Portable Platform
In this paper, we introduce a portable eye imaging device denoted as lab...
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03/05/2019
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
As deep learning continues to make progress for challenging perception t...
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02/19/2019
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
State-of-the-art algorithms successfully localize and recognize traffic ...
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02/18/2019
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
In this paper, we investigate the reliability of online recognition plat...
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02/17/2019
Semantically Interpretable and Controllable Filter Sets
In this paper, we generate and control semantically interpretable filter...
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01/30/2019
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons
In this paper, we propose a novel approach for saliency detection for se...
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01/30/2019