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09/21/2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Self-supervised learning (SSL) has gained remarkable success, for which ...
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03/24/2023
Dynamic Combinatorial Assignment
We study a model of dynamic combinatorial assignment of indivisible obje...
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10/15/2022
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
Herein, we introduce "Look and Diagnose" (LAD), a hybrid deep learning-b...
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09/17/2022
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping
Existing state-of-the-art 3D point cloud instance segmentation methods r...
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02/13/2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
Prior work has successfully incorporated optimization layers as the last...
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11/09/2021
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention
Single Image Super-Resolution (SISR) is a very active research field. Th...
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04/10/2021
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation
Colorectal cancer (CRC) is the first cause of death in many countries. C...
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03/15/2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Developing an agent in reinforcement learning (RL) that is capable of pe...
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03/15/2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Model agnostic meta-learning (MAML) is a popular state-of-the-art meta-l...
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03/06/2021
NeRD: Neural Representation of Distribution for Medical Image Segmentation
We introduce Neural Representation of Distribution (NeRD) technique, a m...
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09/28/2020
Market Equilibrium in Multi-tier Supply Chain Networks
We consider a sequential decision model over multi-tier supply chain net...
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10/29/2019
Bayesian Optimization with Unknown Search Space
Applying Bayesian optimization in problems wherein the search space is u...
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10/03/2019
BUZz: BUffer Zones for defending adversarial examples in image classification
We propose a novel defense against all existing gradient based adversari...
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09/10/2019
Virtual organelle self-coding for fluorescence imaging via adversarial learning
Fluorescence microscopy plays a vital role in understanding the subcellu...
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02/14/2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
In robotic surgery, pattern cutting through a deformable material is a c...
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06/12/2018
Multi-Agent Deep Reinforcement Learning with Human Strategies
Deep learning has enabled traditional reinforcement learning methods to ...
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04/27/2018
Convolutional neural network for Fourier ptychography video reconstruction: learning temporal dynamics from spatial ensembles
Convolutional neural networks (CNNs) have gained tremendous success in s...
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04/05/2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning
In 2015, Google's DeepMind announced an advancement in creating an auton...
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03/06/2018
A Review of Situation Awareness Assessment Approaches in Aviation Environments
Situation awareness (SA) is an important constituent in human informatio...
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10/09/2017