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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 1951–2000 of 9051 papers

TitleStatusHype
A Two-stage Evolutionary Framework For Multi-objective Optimization—0
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion—0
Virtual Personas for Language Models via an Anthology of BackstoriesCode1
Improving the Transferability of Adversarial Examples by Feature Augmentation—0
General and Task-Oriented Video SegmentationCode1
Beyond Aesthetics: Cultural Competence in Text-to-Image ModelsCode0
V-VIPE: Variational View Invariant Pose Embedding—0
Spatial Focused Bitemporal Interactive Network for Remote Sensing Image Change DetectionCode0
Leveraging image captions for selective whole slide image annotationCode0
Analysis of genetic diversity among some Iraqi durum wheat cultivars revealed by different molecular markers—0
Invariance Principle Meets Vicinal Risk Minimization—0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation—0
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
MST5 -- Multilingual Question Answering over Knowledge GraphsCode0
Sub-SA: Strengthen In-context Learning via Submodular Selective AnnotationCode0
Training Task Experts through Retrieval Based Distillation—0
UltraEdit: Instruction-based Fine-Grained Image Editing at ScaleCode0
Harmony in Diversity: Merging Neural Networks with Canonical Correlation AnalysisCode0
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration—0
The Solution for Language-Enhanced Image New Category Discovery—0
Progress or Regress? Self-Improvement Reversal in Post-training—0
VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models—0
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling—0
Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors—0
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain GeneralizationCode1
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts—0
A Survey of Data Synthesis ApproachesCode0
On the Effectiveness of Acoustic BPE in Decoder-Only TTS—0
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions—0
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data—0
RobocupGym: A challenging continuous control benchmark in RobocupCode1
Regurgitative Training: The Value of Real Data in Training Large Language Models—0
Advanced Framework for Animal Sound Classification With Features Optimization—0
Semantically Rich Local Dataset Generation for Explainable AI in GenomicsCode0
Towards a Scalable Reference-Free Evaluation of Generative ModelsCode0
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate MetricCode0
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning—0
Reinforcement Learning for Sequence Design Leveraging Protein Language Models—0
Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking DatasetCode1
Fake News Detection: It's All in the Data!Code5
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model—0
Generative Monoculture in Large Language ModelsCode0
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social InteractionsCode0
The #Somos600M Project: Generating NLP resources that represent the diversity of the languages from LATAM, the Caribbean, and Spain—0
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs—0
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism—0
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets—0
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
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