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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 2251–2300 of 9051 papers

TitleStatusHype
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative WarpingCode3
Multilingual Diversity Improves Vision-Language Representations—0
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling—0
Benchmarking General-Purpose In-Context Learning—0
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy PredictionCode4
Aperture Selection for CAP Arrays (CAPAs)—0
Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse GranularityCode1
Enhancing Feature Diversity Boosts Channel-Adaptive Vision TransformersCode0
Fair Federated Learning under Domain Skew with Local Consistency and Domain DiversityCode1
Pessimistic Backward Policy for GFlowNetsCode0
Graph Neural PDE Solvers with Conservation and Similarity-EquivarianceCode1
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time SeriesCode1
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign UsersCode1
Diffusion Bridge Implicit ModelsCode2
Quality-aware Masked Diffusion Transformer for Enhanced Music GenerationCode4
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics—0
Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2Code2
Randomized heuristic repair for large-scale multidimensional knapsack problem—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks—0
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and GeneralizationCode0
MallowsPO: Fine-Tune Your LLM with Preference Dispersions—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Learning to Transform Dynamically for Better Adversarial TransferabilityCode1
DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationCode0
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis—0
Lessons to learn for better safeguarding of genetic resources during tree pandemics: the case of ash dieback in Europe—0
Mosaic-IT: Free Compositional Data Augmentation Improves Instruction TuningCode1
Towards Exploratory Quality Diversity Landscape Analysis—0
Naturally Private Recommendations with Determinantal Point Processes—0
Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis—0
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature AlignmentCode1
LookHere: Vision Transformers with Directed Attention Generalize and ExtrapolateCode0
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic ScenariosCode0
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models—0
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
Annotation-Efficient Preference Optimization for Language Model AlignmentCode1
A Workbench for Autograding Retrieve/Generate SystemsCode0
Multiple Realizability and the Rise of Deep Learning—0
Goals as Reward-Producing ProgramsCode1
Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization—0
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in TextCode0
G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine TranslationCode1
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking—0
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