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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 3801–3850 of 9051 papers

TitleStatusHype
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-IdentificationCode0
A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy—0
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators—0
Universal Cold RNA Phase Transitions—0
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content DetectionCode0
Genetic diversity of barley accessions and their response under abiotic stresses using different approaches—0
A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problemCode0
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling—0
Protected group bias and stereotypes in Large Language Models—0
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization—0
M^3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation—0
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models—0
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques—0
Progressive trajectory matching for medical dataset distillation—0
Technical Report: Competition Solution For BetterMixture—0
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation—0
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training—0
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
Wav2Gloss: Generating Interlinear Glossed Text from SpeechCode0
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers—0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
Layer-diverse Negative Sampling for Graph Neural Networks—0
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment—0
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions—0
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem—0
Audio-Visual Segmentation via Unlabeled Frame Exploitation—0
FORCE: Physics-aware Human-object Interaction—0
Simple 2D Convolutional Neural Network-based Approach for COVID-19 DetectionCode0
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention—0
An upper bound of the mutation probability in the genetic algorithm for general 0-1 knapsack problem—0
Phasic Diversity Optimization for Population-Based Reinforcement Learning—0
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation—0
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization—0
AI-enhanced Collective IntelligenceCode0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder—0
Boundary Matters: A Bi-Level Active Finetuning Framework—0
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model—0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
Pantypes: Diverse Representatives for Self-Explainable ModelsCode0
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different LanguagesCode0
Lightning-fast adaptive immune receptor similarity search by symmetric deletion lookupCode0
DiTMoS: Delving into Diverse Tiny-Model Selection on MicrocontrollersCode0
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation—0
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models—0
Federated Data Model—0
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