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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 7651–7700 of 9051 papers

TitleStatusHype
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy—0
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup SegmentationCode0
Parallel Exploration via Negatively Correlated Search—0
Optimal Transport Based Generative Autoencoders—0
Infrared uplink design for visible light communication (VLC) systems with beam steering—0
Optical Wireless cabin communication system—0
Transmitter Diversity with Beam Steering—0
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication—0
DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic ClusteringCode0
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method—0
A simple and effective hybrid genetic search for the job sequencing and tool switching problemCode0
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddingsCode0
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity—0
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system—0
Self-Paced Multi-Label Learning with DiversityCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
Kidney Recognition in CT Using YOLOv3—0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Expanding functional protein sequence space using generative adversarial networksCode0
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization—0
A Large-scale Study of Representation Learning with the Visual Task Adaptation BenchmarkCode0
Gaussian Affinity for Max-Margin Class Imbalanced Learning—0
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval—0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input—0
Learning a Mixture of Granularity-Specific Experts for Fine-Grained CategorizationCode0
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence—0
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples—0
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos—0
Sub-Architecture Ensemble Pruning in Neural Architecture SearchCode0
Fast and Practical Neural Architecture SearchCode0
Generating Diverse and Descriptive Image Captions Using Visual Paraphrases—0
Generating Diverse Story Continuations with Controllable Semantics—0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN—0
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations—0
Feature Fusion Detector for Semantic Cognition of Remote Sensing—0
Semantic Example Guided Image-to-Image Translation—0
Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets—0
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams—0
Galaxy Image Simulation Using Progressive GANs—0
Markov Decision Process for Video Generation—0
Speech Recognition with Augmented Synthesized Speech—0
Is There Mode Collapse? A Case Study on Face Generation and Its Black-box Calibration—0
BRIDGING ADVERSARIAL SAMPLES AND ADVERSARIAL NETWORKS—0
Sentence embedding with contrastive multi-views learning—0
CaptainGAN: Navigate Through Embedding Space For Better Text Generation—0
Stochastic Conditional Generative Networks with Basis Decomposition—0
A Quality-Diversity Controllable GAN for Text Generation—0
Omnibus Dropout for Improving The Probabilistic Classification Outputs of ConvNets—0
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild—0
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical SpaceCode0
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