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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 2026–2050 of 9051 papers

TitleStatusHype
Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Delay-Doppler Waveforms in Doubly Selective Channels—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
Cyclic Prefix (CP) Jamming Against Eavesdropping Relays in OFDM Systems—0
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited—0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Conditional Text Image Generation with Diffusion Models—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
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation—0
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning—0
DAL: Dual Adversarial Learning for Dialogue Generation—0
Daleel: Simplifying Cloud Instance Selection Using Machine Learning—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
A small Griko-Italian speech translation corpus—0
A Hybrid Bandit Framework for Diversified Recommendation—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
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