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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 2451–2500 of 9051 papers

TitleStatusHype
Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches—0
A Survey on Self-Evolution of Large Language Models—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation—0
Elucidating the Design Space of Dataset CondensationCode1
Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation—0
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding—0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning—0
FineRec:Exploring Fine-grained Sequential RecommendationCode1
MAexp: A Generic Platform for RL-based Multi-Agent ExplorationCode2
Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video CommentingCode0
DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving—0
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation—0
Global Counterfactual DirectionsCode0
Understanding the genetic basis of variation in meiotic recombination: past, present, and future—0
How Population Diversity Influences the Efficiency of Crossover—0
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval—0
Enhance Robustness of Language Models Against Variation Attack through Graph Integration—0
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity—0
MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye trackingCode1
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction—0
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model DiversityCode0
Tailoring Generative Adversarial Networks for Smooth Airfoil Design—0
Token-level Direct Preference OptimizationCode2
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions—0
LMEraser: Large Model Unlearning through Adaptive Prompt TuningCode0
Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem—0
IMIL: Interactive Medical Image Learning Framework—0
The dynamics of diversity on corporate boards—0
On the Scalability of GNNs for Molecular Graphs—0
Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image AnalysisCode0
VBR: A Vision Benchmark in RomeCode2
Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection—0
Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem—0
Forcing Diffuse Distributions out of Language ModelsCode1
Incubating Text Classifiers Following User Instruction with Nothing but LLMCode0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation—0
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition—0
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks—0
Promoting the linguistic diversity of TEI in the Maghreb and the Arab region—0
MAD Speech: Measures of Acoustic Diversity of Speech—0
DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation FusionCode0
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language ModelsCode0
Measuring Diversity of Game Scenarios—0
Taming Latent Diffusion Model for Neural Radiance Field Inpainting—0
Memory Sharing for Large Language Model based AgentsCode1
in2IN: Leveraging individual Information to Generate Human INteractionsCode2
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement—0
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