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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

Showing 76017650 of 9051 papers

TitleStatusHype
Parallel Exploration via Negatively Correlated Search0
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup SegmentationCode0
Optimal Transport Based Generative Autoencoders0
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication0
Optical Wireless cabin communication system0
Infrared uplink design for visible light communication (VLC) systems with beam steering0
Transmitter Diversity with Beam Steering0
Target-Oriented Deformation of Visual-Semantic Embedding SpaceCode1
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentCode1
DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic ClusteringCode0
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method0
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
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system0
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity0
Self-Paced Multi-Label Learning with DiversityCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation0
Kidney Recognition in CT Using YOLOv30
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization0
Expanding functional protein sequence space using generative adversarial networksCode0
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos0
Learning a Mixture of Granularity-Specific Experts for Fine-Grained CategorizationCode0
Gaussian Affinity for Max-Margin Class Imbalanced Learning0
Fast and Practical Neural Architecture SearchCode0
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence0
Generating Diverse and Descriptive Image Captions Using Visual Paraphrases0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input0
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval0
A Large-scale Study of Representation Learning with the Visual Task Adaptation BenchmarkCode0
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples0
Sub-Architecture Ensemble Pruning in Neural Architecture SearchCode0
Generating Diverse Story Continuations with Controllable Semantics0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN0
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations0
Semantic Example Guided Image-to-Image Translation0
Feature Fusion Detector for Semantic Cognition of Remote Sensing0
Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets0
Markov Decision Process for Video Generation0
Galaxy Image Simulation Using Progressive GANs0
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams0
CaptainGAN: Navigate Through Embedding Space For Better Text Generation0
Omnibus Dropout for Improving The Probabilistic Classification Outputs of ConvNets0
A Quality-Diversity Controllable GAN for Text Generation0
Is There Mode Collapse? A Case Study on Face Generation and Its Black-box Calibration0
BRIDGING ADVERSARIAL SAMPLES AND ADVERSARIAL NETWORKS0
Sentence embedding with contrastive multi-views learning0
Deep Hierarchical-Hyperspherical Learning (DH^2L)0
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild0
Stochastic Conditional Generative Networks with Basis Decomposition0
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