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Asymmetric self-play for automatic goal discovery in robotic manipulation
We train a single, goal-conditioned policy that can solve many robotic m...
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Low Bandwidth Video-Chat Compression using Deep Generative Models
To unlock video chat for hundreds of millions of people hindered by poor...
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Differentially Private ADMM Algorithms for Machine Learning
In this paper, we study efficient differentially private alternating dir...
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A simulation environment for drone cinematography
In this paper, we present a workflow for the simulation of drone operati...
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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
Uterine cancer, also known as endometrial cancer, can seriously affect t...
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Applying Deep Learning To Airbnb Search
The application to search ranking is one of the biggest machine learning...
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Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...
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GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction
Image feature point matching is a key step in Structure from Motion(SFM)...
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Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization
Multiobjective optimization evolutionary algorithms have been successful...
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New Methods of Studying Valley Fitness Landscapes
The word "valley" is a popular term used in intuitively describing fitne...
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Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks
Convolutional neural networks are powerful tools for image segmentation ...
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Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
Bronchoscopy inspection as a follow-up procedure from the radiological i...
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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
In this paper, we propose an Attentional Generative Adversarial Network ...
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On the Discrimination-Generalization Tradeoff in GANs
Generative adversarial training can be generally understood as minimizin...
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
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SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation
Inspired by classic generative adversarial networks (GAN), we propose a ...
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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Synthesizing high-quality images from text descriptions is a challenging...
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Multi-objective Differential Evolution with Helper Functions for Constrained Optimization
Solving constrained optimization problems by multi-objective evolutionar...
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High Order Structure Descriptors for Scene Images
Structure information is ubiquitous in natural scene images and it plays...
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Efficient Image Categorization with Sparse Fisher Vector
In object recognition, Fisher vector (FV) representation is one of the s...
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