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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 1651–1700 of 9051 papers

TitleStatusHype
Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class PriorsCode0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
A high-accuracy multi-model mixing retrosynthetic method—0
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak—0
Multi-Modal Diffusion for Hand-Object Grasp GenerationCode0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets—0
Memory-Optimized Once-For-All NetworkCode0
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality DataCode1
HUMOS: Human Motion Model Conditioned on Body ShapeCode1
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model—0
LLM-based multi-agent poetry generation in non-cooperative environmentsCode0
Planning In Natural Language Improves LLM Search For Code GenerationCode1
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment ClassificationCode0
MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor SegmentationCode0
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling—0
Rethinking HTG Evaluation: Bridging Generation and RecognitionCode1
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world VideosCode5
Empirical evidence of Large Language Model's influence on human spoken communication—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics—0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
A Framework for Synthetic Audio Conversations Generation using Large Language Models—0
A practical generalization metric for deep networks benchmarking—0
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy OptimizationCode2
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
SCOPE: Sign Language Contextual Processing with Embedding from LLMsCode0
MarsCode Agent: AI-native Automated Bug Fixing—0
Imitating Language via Scalable Inverse Reinforcement Learning—0
Kullback-Leibler cluster entropy to quantify volatility correlation and risk diversity—0
An adaptative differential evolution with enhanced diversity and restart mechanismCode0
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion—0
Rethinking Image Super-Resolution from Training Data PerspectivesCode1
TSO: Self-Training with Scaled Preference Optimization—0
Data Augmentation for Image Classification using Generative AI—0
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity—0
LLMs Prompted for Graphs: Hallucinations and Generative Capabilities—0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
Sparse Uncertainty-Informed Sampling from Federated Streaming DataCode0
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning—0
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation—0
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections—0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification—0
Illuminating the Diversity-Fitness Trade-Off in Black-Box OptimizationCode0
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling—0
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design—0
Iterative Graph AlignmentCode0
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