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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 3151–3200 of 9051 papers

TitleStatusHype
Daleel: Simplifying Cloud Instance Selection Using Machine Learning—0
DAL: Dual Adversarial Learning for Dialogue Generation—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection—0
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation—0
Automated Backend-Aware Post-Training Quantization—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Automated Adversarial Discovery for Safety Classifiers—0
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction—0
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
AlphaStar: An Evolutionary Computation Perspective—0
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning—0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling—0
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios—0
Autoencoder-based General Purpose Representation Learning for Customer Embedding—0
Adaptive Agent Architecture for Real-time Human-Agent Teaming—0
Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC—0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited—0
Autoencoder-Based Framework to Capture Vocabulary Quality in NLP—0
Cyclic Prefix (CP) Jamming Against Eavesdropping Relays in OFDM Systems—0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs—0
Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Delay-Doppler Waveforms in Doubly Selective Channels—0
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity—0
Autocatalytic Sets and RNA Secondary Structure—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—0
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering—0
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model—0
Curse of "Low" Dimensionality in Recommender Systems—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment—0
A User-Centered Investigation of Personal Music Tours—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
A Universal Sets-level Optimization Framework for Next Set Recommendation—0
Current and future directions in network biology—0
A universally consistent learning rule with a universally monotone error—0
A Universality-Individuality Integration Model for Dialog Act Classification—0
Curiosity creates Diversity in Policy Search—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
A Low Complexity Space-Frequency Multiuser Scheduling Algorithm—0
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
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