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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 80518100 of 9051 papers

TitleStatusHype
A Decoupled 3D Facial Shape Model by Adversarial Training0
Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning0
Speaker diarisation using 2D self-attentive combination of embeddings0
AlphaStar: An Evolutionary Computation Perspective0
Strategies for Structuring Story Generation0
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure0
Fast Re-Optimization via Structural Diversity0
View Invariant 3D Human Pose Estimation0
Diversity Regularized Adversarial Learning0
Implicit Diversity in Image Summarization0
Diversity in Faces0
Improving Adversarial Robustness of Ensembles with Diversity Training0
Promoting Diversity for End-to-End Conversation Response Generation0
Multi Objective Particle Swarm Optimization based Cooperative Agents with Automated Negotiation0
Diversity-Sensitive Conditional Generative Adversarial Networks0
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data0
A Review on Quantile Regression for Stochastic Computer Experiments0
Max-margin Class Imbalanced Learning with Gaussian AffinityCode0
Adaptation of olfactory receptor abundances for efficient codingCode0
Fitting 3D Shapes from Partial and Noisy Point Clouds with Evolutionary Computing0
Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages0
Diverse mini-batch Active Learning0
Quadratic Autoencoder (Q-AE) for Low-dose CT DenoisingCode0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules0
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models0
Ensembles of feedforward-designed convolutional neural networks0
DPPNet: Approximating Determinantal Point Processes with Deep Networks0
Spectrum-Diverse Neuroevolution with Unified Neural ModelsCode0
Hierarchical Reinforcement Learning via Advantage-Weighted Information MaximizationCode0
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance0
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision0
Photo-Sketching: Inferring Contour Drawings from ImagesCode0
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review GenerationCode0
Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation0
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with DroneCode0
Variational Cross-domain Natural Language Generation for Spoken Dialogue SystemsCode0
Generating Diverse and Meaningful CaptionsCode0
Max-Diversity Distributed Learning: Theory and Algorithms0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals0
Toward Multimodal Model-Agnostic Meta-Learning0
Adversarial Inference for Multi-Sentence Video DescriptionCode0
On the potential for open-endedness in neural networks0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis0
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN0
Genesis of the alpha beta T-cell receptor0
Taking the Scenic Route: Automatic Exploration for Videogames0
Observing the Population Dynamics in GE by means of the Intrinsic Dimension0
Teacher-Student Compression with Generative Adversarial NetworksCode0
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