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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 2651–2675 of 9051 papers

TitleStatusHype
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions—0
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment—0
Layer-diverse Negative Sampling for Graph Neural Networks—0
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised LearningCode1
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single ImageCode4
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem—0
An upper bound of the mutation probability in the genetic algorithm for general 0-1 knapsack problem—0
Audio-Visual Segmentation via Unlabeled Frame Exploitation—0
Simple 2D Convolutional Neural Network-based Approach for COVID-19 DetectionCode0
FORCE: Physics-aware Human-object Interaction—0
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention—0
Scaling Data Diversity for Fine-Tuning Language Models in Human AlignmentCode1
Phasic Diversity Optimization for Population-Based Reinforcement Learning—0
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization—0
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation—0
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
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features CriticsCode1
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model—0
AI-enhanced Collective IntelligenceCode0
Boundary Matters: A Bi-Level Active Finetuning Framework—0
Lightning-fast adaptive immune receptor similarity search by symmetric deletion lookupCode0
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different LanguagesCode0
Dyadic Interaction Modeling for Social Behavior GenerationCode1
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space ModelsCode2
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