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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 6351–6400 of 9051 papers

TitleStatusHype
Keyframe-Guided Creative Video Inpainting—0
Keyphrase Generation with Correlation Constraints—0
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer—0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs—0
KGEval: Estimating Accuracy of Automatically Constructed Knowledge Graphs—0
Kidney Recognition in CT Using YOLOv3—0
k-mer-based approaches to bridging pangenomics and population genetics—0
KMS states of Information Flow in Directed Brain Synaptic Networks—0
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Knolling Bot: Learning Robotic Object Arrangement from Tidy Demonstrations—0
Knowledge-augmented Few-shot Visual Relation Detection—0
Knowledge-aware Autoencoders for Explainable Recommender Sytems—0
Knowledge-aware Text-Image Retrieval for Remote Sensing Images—0
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine—0
Knowledge Learning with Crowdsourcing: A Brief Review and Systematic Perspective—0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data—0
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives—0
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition—0
Know your tools well: Better and faster QA with synthetic examples—0
KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches—0
Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing—0
KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding—0
Kullback-Leibler cluster entropy to quantify volatility correlation and risk diversity—0
KU_NLP@LT-EDI-EACL2021: A Multilingual Hope Speech Detection for Equality, Diversity, and Inclusion using Context Aware Embeddings—0
Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity—0
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse—0
λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics—0
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space—0
LAME: Layout Aware Metadata Extraction Approach for Research Articles—0
Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data—0
Land-use history impacts functional diversity across multiple trophic groups—0
Lanfrica: A Participatory Approach to Documenting Machine Translation Research on African Languages—0
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model—0
Langsmith: An Interactive Academic Text Revision System—0
Language-aware Interlingua for Multilingual Neural Machine Translation—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL—0
Language diversity and implications for Language technology in the Multilingual Europe—0
Language Diversity: Visible to Humans, Exploitable by Machines—0
Language-driven All-in-one Adverse Weather Removal—0
Language Games as the Pathway to Artificial Superhuman Intelligence—0
Semantically Grounded QFormer for Efficient Vision Language Understanding—0
Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video—0
Language Guided Skill Discovery—0
Language Model Evaluation in Open-ended Text Generation—0
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