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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 3601–3650 of 9051 papers

TitleStatusHype
Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?—0
Ensemble of Counterfactual ExplainersCode0
Few-Shot Object Detection via Synthetic Features with Optimal TransportCode1
A Comprehensive Augmentation Framework for Anomaly Detection—0
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer SamplesCode0
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning—0
Policy Diversity for Cooperative Agents—0
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionCode0
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series SummarizationCode0
Residual Denoising Diffusion ModelsCode2
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-DiversityCode0
Diverse, Top-k, and Top-Quality Planning Over Simulators—0
Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages—0
Open Heterogeneous Data for Condition Monitoring of Multi Faults in Rotating Machines Used in Different Operating ConditionsCode0
Lexical Diversity in Kinship Across Languages and Dialects—0
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven AnalysisCode0
Predator-prey survival pressure is sufficient to evolve swarming behaviors—0
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity ConstraintsCode0
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model BiasCode1
Boosting Semantic Segmentation from the Perspective of Explicit Class EmbeddingsCode0
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
Audio Generation with Multiple Conditional Diffusion Model—0
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval—0
Evaluation of Faithfulness Using the Longest Supported Subsequence—0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
Diverse Policies Converge in Reward-free Markov Decision ProcesseCode0
MolGrapher: Graph-based Visual Recognition of Chemical StructuresCode1
The YOLO model that still excels in document layout analysis—0
Generalising sequence models for epigenome predictions with tissue and assay embeddings—0
Diversity Measures: Domain-Independent Proxies for Failure in Language Model QueriesCode0
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User SimulatorCode1
Comparing Measures of Linguistic Diversity Across Social Media Language Data and Census Data at Subnational Geographic Areas—0
DynED: Dynamic Ensemble Diversification in Data Stream ClassificationCode0
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant RecommendationsCode0
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification—0
Self-Feedback DETR for Temporal Action Detection—0
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations—0
Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical DeformationCode1
Adaptive pruning-based Newton's method for distributed learning—0
UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment—0
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric PerspectiveCode1
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation—0
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization—0
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed RecognitionCode1
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning—0
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