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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 1201–1225 of 9051 papers

TitleStatusHype
Top-nσ: Not All Logits Are You Need—0
Controlled Evaluation of Syntactic Knowledge in Multilingual Language ModelsCode0
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration—0
A comprehensive representation of selection at loci with multiple alleles that allows complex forms of genotypic fitnessCode0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
Deep Active Learning in the Open World—0
Quasi-random Multi-Sample Inference for Large Language Models—0
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop—0
ViTOC: Vision Transformer and Object-aware Captioner—0
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems—0
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule GenerationCode0
STARS: Sensor-agnostic Transformer Architecture for Remote Sensing—0
Dialectal Coverage And Generalization in Arabic Speech RecognitionCode2
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior—0
One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversityCode0
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa—0
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityCode0
Discretized Gaussian Representation for Tomographic Reconstruction—0
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization—0
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks—0
Diversity Helps Jailbreak Large Language Models—0
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