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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 6001–6050 of 9051 papers

TitleStatusHype
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Estimation of Bistatic Radar Detection Performance Under Discrete Clutter Conditions Using Stochastic Geometry—0
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images—0
Long-term Data Sharing under Exclusivity AttacksCode0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
EmpHi: Generating Empathetic Responses with Human-like Intents—0
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face RecognitionCode0
Tit for Tattling: Cooperation, communication, and how each could stabilize the other—0
Generating Molecular Conformations via Normalizing Flows and Neural ODEs—0
LexiCon: Lexically Constrained Review Generation via Robust Insertion—0
Quantifying Synthesis and Fusion and their Impact on Machine Translation—0
Competition Dynamics in the Meme Ecosystem—0
Improving negation detection with negation-focused pre-training—0
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies—0
Measuring and Improving Semantic Diversity of Dialogue Generation—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification—0
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection—0
Deep Leaning-Based Ultra-Fast Stair Detection—0
gDNA: Towards Generative Detailed Neural Avatars—0
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations—0
Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning—0
Variational Stacked Local Attention Networks for Diverse Video Captioning—0
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection—0
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity—0
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
NOMA Computation Over Multi-Access Channels for Multimodal Sensing—0
InOut: Diverse Image Outpainting via GAN Inversion—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Local Attention Pyramid for Scene Image Generation—0
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning—0
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
Investigating Shifts in GAN Output-Distributions—0
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class AnnealingCode0
Towards Federated Learning on Time-Evolving Heterogeneous Data—0
Lyapunov Exponents for Diversity in Differentiable Games—0
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence—0
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios—0
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis—0
LAME: Layout Aware Metadata Extraction Approach for Research Articles—0
Cross-Part Learning for Fine-Grained Image ClassificationCode0
Turbo-Sim: a generalised generative model with a physical latent space—0
Black-Box Testing of Deep Neural Networks Through Test Case DiversityCode0
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