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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 801–850 of 9051 papers

TitleStatusHype
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer CapabilitiesCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Dan: Deep attention neural network for news recommendationCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
Vision Transformers with Patch DiversificationCode1
Are Large Language Models Capable of Generating Human-Level Narratives?Code1
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?Code1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Data Augmentation Alone Can Improve Adversarial TrainingCode1
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector SpacesCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Data Augmentation via Latent Diffusion for Saliency PredictionCode1
EnvEdit: Environment Editing for Vision-and-Language NavigationCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelCode1
A Bayesian Flow Network Framework for Chemistry TasksCode1
End-to-End Optimization of Scene LayoutCode1
Dataset Factorization for CondensationCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Dataset GrowthCode1
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature AlignmentCode1
ARGS: Alignment as Reward-Guided SearchCode1
Argumentative Large Language Models for Explainable and Contestable Claim VerificationCode1
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingCode1
Grounding Language to Autonomously-Acquired Skills via Goal GenerationCode1
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower BoundsCode1
Deep Color Transfer using Histogram AnalogyCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Energy-Based Models for Code Generation under Compilability ConstraintsCode1
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identificationCode1
Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking DatasetCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
Instance-Optimal Compressed Sensing via Posterior SamplingCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Interaction Pattern Disentangling for Multi-Agent Reinforcement LearningCode1
EmpHi: Generating Empathetic Responses with Human-like IntentsCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
Evaluating the Evaluation of Diversity in Natural Language GenerationCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
Deep Sketch-Based Modeling: Tips and TricksCode1
AI-generated text boundary detection with RoFTCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
BenthicNet: A global compilation of seafloor images for deep learning applicationsCode1
Ego-Exo: Transferring Visual Representations from Third-person to First-person VideosCode1
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