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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 351–400 of 9051 papers

TitleStatusHype
Measuring Diversity in Synthetic DatasetsCode1
Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoECode1
Trajectory World Models for Heterogeneous EnvironmentsCode1
RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domainsCode1
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open ChallengesCode1
WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource LanguagesCode1
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog ArchitecturesCode1
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionCode1
A Large-Scale Study on Video Action Dataset CondensationCode1
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive DefenseCode1
No Preference Left Behind: Group Distributional Preference OptimizationCode1
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration PathCode1
Optimal signal transmission and timescale diversity in a model of human brain operating near criticalityCode1
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMsCode1
Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint MapsCode1
StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric PriorsCode1
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic SegmentationCode1
Relation-Guided Adversarial Learning for Data-free Knowledge TransferCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
HyperMARL: Adaptive Hypernetworks for Multi-Agent RLCode1
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsCode1
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation BenchmarkCode1
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMsCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
DELT: A Simple Diversity-driven EarlyLate Training for Dataset DistillationCode1
Global Tensor Motion PlanningCode1
Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image ClassificationCode1
MAT: Multi-Range Attention Transformer for Efficient Image Super-ResolutionCode1
Image Generation Diversity Issues and How to Tame ThemCode1
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in ThaiCode1
FastGrasp: Efficient Grasp Synthesis with DiffusionCode1
NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language ModelsCode1
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code GenerationCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsCode1
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-AgentsCode1
Not Just Object, But State: Compositional Incremental Learning without ForgettingCode1
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language AttackCode1
GS-Blur: A 3D Scene-Based Dataset for Realistic Image DeblurringCode1
Topic-Conversation Relevance (TCR) Dataset and BenchmarksCode1
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
C^2: Scalable Auto-Feedback for LLM-based Chart GenerationCode1
Reinforcement learning on structure-conditioned categorical diffusion for protein inverse foldingCode1
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?Code1
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
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