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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 5351–5400 of 9051 papers

TitleStatusHype
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy—0
RareGAN: Generating Samples for Rare ClassesCode0
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI—0
Learning Affordance Grounding from Exocentric ImagesCode1
Challenges and Strategies in Cross-Cultural NLP—0
On the Importance of Data Size in Probing Fine-tuned ModelsCode0
MotionAug: Augmentation with Physical Correction for Human Motion PredictionCode1
Multilingual Detection of Personal Employment Status on TwitterCode0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
PMAL: Open Set Recognition via Robust Prototype Mining—0
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive EvaluationCode0
On Redundancy and Diversity in Cell-based Neural Architecture SearchCode0
Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go—0
Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography—0
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs—0
Complex Evolutional Pattern Learning for Temporal Knowledge Graph ReasoningCode1
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph ExpertsCode1
InsetGAN for Full-Body Image GenerationCode1
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of RedundancyCode1
Peng Cheng Object Detection Benchmark for Smart City—0
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection—0
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection—0
Language Diversity: Visible to Humans, Exploitable by Machines—0
Deep Rectangling for Image Stitching: A Learning BaselineCode2
Pointillism: Accurate 3D bounding box estimation with multi-radars—0
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPsCode1
Predicting conversion of mild cognitive impairment to Alzheimer's disease—0
Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2Code1
Teleconnection patterns of different El Niño types revealed by climate network curvature—0
Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for ChildrenCode0
Modeling Field-level Factor Interactions for Fashion Recommendation—0
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained EnvironmentsCode2
Building and curating conversational corpora for diversity-aware language science and technology—0
Hierarchical Sketch Induction for Paraphrase GenerationCode1
Diversifying Agent's Behaviors in Interactive Decision Models—0
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translationCode1
Freeform Body Motion Generation from SpeechCode2
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation—0
Transfer Dynamics in Emergent Evolutionary Curricula—0
Provable and Efficient Continual Representation LearningCode0
Deep Latent-Variable Models for Text Generation—0
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI ProjectCode0
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesCode1
Biological Sequence Design with GFlowNetsCode1
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems—0
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise—0
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