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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 701750 of 9051 papers

TitleStatusHype
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement LearningCode1
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided DiffusionCode1
DreamDA: Generative Data Augmentation with Diffusion ModelsCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
DRIT++: Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
Dyadic Interaction Modeling for Social Behavior GenerationCode1
Adversarial Feature Hallucination Networks for Few-Shot LearningCode1
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial SensorsCode1
Answering Ambiguous Questions via Iterative PromptingCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
AnthroNet: Conditional Generation of Humans via AnthropometricsCode1
ARGS: Alignment as Reward-Guided SearchCode1
A Quantum Leaky Integrate-and-Fire Spiking Neuron and NetworkCode1
Effective Diversity in Population Based Reinforcement LearningCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
AutoSTR: Efficient Backbone Search for Scene Text RecognitionCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and DetectionCode1
Adversarial Parametric Pose PriorCode1
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
Ensemble Diversity Facilitates Adversarial TransferabilityCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition ChallengesCode1
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images GenerationCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
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