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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

Showing 351400 of 9051 papers

TitleStatusHype
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based CaptioningCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
Active Learning by Acquiring Contrastive ExamplesCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
Deep Sketch-Based Modeling: Tips and TricksCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based OptimizationCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
BanglaParaphrase: A High-Quality Bangla Paraphrase DatasetCode1
Deep Ordinal Regression with Label DiversityCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Design of Chain-of-Thought in Math Problem SolvingCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
Action detection using a neural network elucidates the genetics of mouse grooming behaviorCode1
A Bayesian Flow Network Framework for Chemistry TasksCode1
Deep generative selection models of T and B cell receptor repertoires with soNNiaCode1
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR DataCode1
A View From Somewhere: Human-Centric Face RepresentationsCode1
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer CapabilitiesCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Grounding Language to Autonomously-Acquired Skills via Goal GenerationCode1
AutoMix: Automatically Mixing Language ModelsCode1
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower BoundsCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Dataset Factorization for CondensationCode1
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector QuantizationCode1
Deep Color Transfer using Histogram AnalogyCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from DataCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Dan: Deep attention neural network for news recommendationCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
Data Augmentation via Latent Diffusion for Saliency PredictionCode1
Dataset GrowthCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
Automating Rigid Origami DesignCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based RecommendationCode1
AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesCode1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
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