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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 2651–2700 of 9051 papers

TitleStatusHype
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions—0
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single ImageCode4
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment—0
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised LearningCode1
Layer-diverse Negative Sampling for Graph Neural Networks—0
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
Scaling Data Diversity for Fine-Tuning Language Models in Human AlignmentCode1
Simple 2D Convolutional Neural Network-based Approach for COVID-19 DetectionCode0
FORCE: Physics-aware Human-object Interaction—0
Phasic Diversity Optimization for Population-Based Reinforcement Learning—0
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention—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
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model—0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder—0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features CriticsCode1
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
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models—0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
Pantypes: Diverse Representatives for Self-Explainable ModelsCode0
DiTMoS: Delving into Diverse Tiny-Model Selection on MicrocontrollersCode0
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space ModelsCode2
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation—0
Federated Data Model—0
Distributed Deep Learning for Modulation Classification in 6G Cell-Free Wireless Networks—0
Historical Astronomical Diagrams Decomposition in Geometric Primitives—0
LAFS: Landmark-based Facial Self-supervised Learning for Face RecognitionCode1
GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection MethodCode1
Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems—0
Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control—0
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study—0
Multiple Population Alternate Evolution Neural Architecture Search—0
Complementing cell taxonomies with a multicellular functional analysis of tissues—0
Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution—0
Attacking Transformers with Feature Diversity Adversarial Perturbation—0
Speeding up 6-DoF Grasp Sampling with Quality-Diversity—0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationCode0
Can Generative Models Improve Self-Supervised Representation Learning?Code0
Augmentations vs Algorithms: What Works in Self-Supervised Learning—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via PromptsCode1
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target DetectionCode1
Face2Diffusion for Fast and Editable Face PersonalizationCode2
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