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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 8451–8475 of 9051 papers

TitleStatusHype
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition—0
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images—0
Semi-supervised FusedGAN for Conditional Image Generation—0
Building a Conversational Agent Overnight with Dialogue Self-PlayCode1
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
Simple Unsupervised Keyphrase Extraction using Sentence EmbeddingsCode0
Emergent memory in cell signaling: Persistent adaptive dynamics in cascades can arise from the diversity of relaxation time-scales—0
Topic-based Evaluation for Conversational BotsCode0
Moments in Time Dataset: one million videos for event understandingCode0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition—0
Indian Regional Movie Dataset for Recommender SystemsCode0
Learning from Neighbors about a Changing State—0
Explorations in an English Poetry Corpus: A Neurocognitive Poetics Perspective—0
Generating Neural Networks with Neural NetworksCode0
Intelligence Graph—0
Dynamic Island Model based on Spectral Clustering in Genetic Algorithm—0
Extraction of Verbal Synsets and Relations for FarsNet—0
A Classification-Based Perspective on GAN Distributions—0
Hallucinating brains with artificial brains—0
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity—0
Personal Names in Modern Turkey—0
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness RewardCode0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Deep Hashing with Category Mask for Fast Video RetrievalCode0
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