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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 3151–3175 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
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