SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8051–8075 of 9051 papers

TitleStatusHype
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models—0
Ensembles of feedforward-designed convolutional neural networks—0
DPPNet: Approximating Determinantal Point Processes with Deep Networks—0
Spectrum-Diverse Neuroevolution with Unified Neural ModelsCode0
Hierarchical Reinforcement Learning via Advantage-Weighted Information MaximizationCode0
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker DetectionCode1
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision—0
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance—0
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 GAN—0
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation—0
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with DroneCode0
Variational Cross-domain Natural Language Generation for Spoken Dialogue SystemsCode0
Max-Diversity Distributed Learning: Theory and Algorithms—0
Generating Diverse and Meaningful CaptionsCode0
SwipeCut: Interactive Segmentation with Diversified Seed Proposals—0
Toward Multimodal Model-Agnostic Meta-Learning—0
Adversarial Inference for Multi-Sentence Video DescriptionCode0
Lenia - Biology of Artificial LifeCode2
On the potential for open-endedness in neural networks—0
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN—0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis—0
Show:102550
← PrevPage 323 of 363Next →

No leaderboard results yet.