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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 451–500 of 9051 papers

TitleStatusHype
Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning—0
Multi-Objective Quality-Diversity in Unstructured and Unbounded SpacesCode0
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication—0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data—0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback—0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs—0
The Marine Debris Forward-Looking Sonar Datasets—0
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization—0
ActionStudio: A Lightweight Framework for Data and Training of Large Action ModelsCode4
ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting—0
Multiple Embeddings for Quantum Machine Learning—0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI RecommendationCode0
Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial CommunitiesCode0
The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in GamesCode1
MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning—0
Dynamics of Algorithmic Content Amplification on TikTok—0
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic SystemsCode0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations—0
The economics of global personality diversity—0
Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors—0
Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges—0
Exploring Textual Semantics Diversity for Image Transmission in Semantic Communication Systems using Visual Language Model—0
Writing as a testbed for open ended agents—0
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components—0
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs—0
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education—0
Evolutionary Policy Optimization—0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain EnvironmentsCode0
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-TrainingCode1
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement—0
Generative Dataset Distillation using Min-Max Diffusion Model—0
Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models—0
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation—0
Unraveling the Effects of Synthetic Data on End-to-End Autonomous DrivingCode1
Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language NavigationCode1
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval—0
Visual Variational Autoencoder Prompt Tuning—0
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning—0
DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology DiagnosisCode0
When Debate Fails: Bias Reinforcement in Large Language Models—0
Preference-Guided Diffusion for Multi-Objective Offline Optimization—0
Modifying Large Language Model Post-Training for Diverse Creative WritingCode2
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation—0
Dereflection Any Image with Diffusion Priors and Diversified DataCode2
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance—0
Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn DynamicsCode0
CAARMA: Class Augmentation with Adversarial Mixup Regularization—0
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