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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 2301–2350 of 9051 papers

TitleStatusHype
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images—0
Search results diversification in competitive search—0
Co-Learning Bayesian Optimization—0
Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial CurvesCode0
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases—0
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity—0
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear BanditsCode0
Adaptive Testing for LLM-Based Applications: A Diversity-based Approach—0
Deep Modularity Networks with Diversity--Preserving Regularization—0
Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation—0
Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach—0
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)—0
A Comprehensive Social Bias Audit of Contrastive Vision Language Models—0
Deep Reinforcement Learning with Hybrid Intrinsic Reward Model—0
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition—0
Foreign object segmentation in chest x-rays through anatomy-guided shape insertion—0
Distributed Multi-Head Learning Systems for Power Consumption Prediction—0
Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture—0
The impact of intrinsic rewards on exploration in Reinforcement Learning—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Approach to Visual Attractiveness of Event Space Through Data-Driven Environment and Spatial Perception—0
Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges—0
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering—0
Block Flow: Learning Straight Flow on Data BlocksCode0
Optimizing Pretraining Data Mixtures with LLM-Estimated Utility—0
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions—0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring—0
Aligning Instruction Tuning with Pre-training—0
AI in Support of Diversity and Inclusion—0
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model—0
Democratizing AI Governance: Balancing Expertise and Public Participation—0
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
iTool: Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning—0
Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training—0
Formalising lexical and syntactic diversity for data sampling in French—0
Orthogonal Delay-Doppler Division Multiplexing Modulation with Hierarchical Mode-Based Index Modulation—0
Target Detection in OFDM-ISAC Systems: A Multipath Exploitation Approach—0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Microphone Array Signal Processing and Deep Learning for Speech Enhancement—0
Enhancing Image Generation Fidelity via Progressive PromptsCode0
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach—0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR StrategyCode0
Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks—0
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation—0
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