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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 2251–2275 of 9051 papers

TitleStatusHype
GridDehazeNet: Attention-Based Multi-Scale Network for Image DehazingCode0
GRATIS: GeneRAting TIme Series with diverse and controllable characteristicsCode0
Graph-guided Architecture Search for Real-time Semantic SegmentationCode0
Gram-Elites: N-Gram Based Quality-Diversity SearchCode0
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachCode0
Gradient Estimators for Implicit ModelsCode0
Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic EmbeddingsCode0
Can Generative Models Improve Self-Supervised Representation Learning?Code0
Another Diversity-Promoting Objective Function for Neural Dialogue GenerationCode0
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense ReasoningCode0
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANsCode0
Go Back in Time: Generating Flashbacks in Stories with Event Temporal PromptsCode0
Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data CollectionCode0
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the WildCode0
Global News Synchrony and Diversity During the Start of the COVID-19 PandemicCode0
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial NetworksCode0
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight SharingCode0
Problematic Tokens: Tokenizer Bias in Large Language ModelsCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
GPoeT-2: A GPT-2 Based Poem GeneratorCode0
Camera Style Adaptation for Person Re-identificationCode0
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-IdentificationCode0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
GFlowNets and variational inferenceCode0
GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree searchCode0
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