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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 1251–1300 of 9051 papers

TitleStatusHype
Axiomatic Explainer Globalness via Optimal Transport—0
Designing a Robust Radiology Report Generation System—0
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control—0
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions—0
PRIMO: Progressive Induction for Multi-hop Open Rule Generation—0
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks—0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
α-TCVAE: On the relationship between Disentanglement and Diversity—0
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces—0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Machine learning models for Si nanoparticle growth in nonthermal plasma—0
Logistic Regression Analysis on the Dietary Behavior and the Risk of Nutritional Deficiency Dermatosis: The Case of Bicol Region, Philippines—0
What the %PCSA? Addressing Diversity in Lower-Limb Musculoskeletal Models: Age- and Sex-related Differences in PCSA and Muscle Mass—0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—0
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms—0
GS-Blur: A 3D Scene-Based Dataset for Realistic Image DeblurringCode1
Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US—0
Learning Video Representations without Natural Videos—0
EgoMimic: Scaling Imitation Learning via Egocentric VideoCode2
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language UseCode0
RIS-Aided Dual-Polarized MIMO: How Large a Surface is Needed to Beat Single Polarization?—0
A Universal Sets-level Optimization Framework for Next Set Recommendation—0
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling—0
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving—0
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning—0
Crowdsourcing Lexical Diversity—0
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction—0
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity—0
Topic-Conversation Relevance (TCR) Dataset and BenchmarksCode1
The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks—0
GRADE: Quantifying Sample Diversity in Text-to-Image Models—0
FairSkin: Fair Diffusion for Skin Disease Image Generation—0
BENCHAGENTS: Automated Benchmark Creation with Agent Interaction—0
ReMix: Training Generalized Person Re-identification on a Mixture of Data—0
On the Role of Depth and Looping for In-Context Learning with Task Diversity—0
On the Statistical Complexity of Estimating VENDI Scores from Empirical Data—0
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?Code0
Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control—0
Reducing the Scope of Language Models—0
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond TopicsCode0
ADLM -- stega: A Universal Adaptive Token Selection Algorithm for Improving Steganographic Text Quality via Information Entropy—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
Flaming-hot Initiation with Regular Execution Sampling for Large Language ModelsCode2
Neural Network-Enhanced Disease Spread Dynamics Over Time and Space—0
Hierarchical Multiple Kernel K-Means Algorithm Based on Sparse Connectivity—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Improving Model Evaluation using SMART Filtering of Benchmark DatasetsCode3
Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)Code0
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