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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 4201–4250 of 9051 papers

TitleStatusHype
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion—0
TPPoet: Transformer-Based Persian Poem Generation using Minimal Data and Advanced Decoding Techniques—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking—0
Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games—0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images—0
Language-driven All-in-one Adverse Weather Removal—0
CityGen: Infinite and Controllable 3D City Layout Generation—0
Toward best research practices in AI Psychology—0
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies—0
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization—0
AAMDM: Accelerated Auto-regressive Motion Diffusion Model—0
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding—0
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning—0
Generative artificial intelligence enhances creativity but reduces the diversity of novel content—0
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence PairsCode0
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models—0
Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?—0
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing—0
Biased Random-Key Genetic Algorithms: A Review—0
Few-shot Image Generation via Style Adaptation and Content Preservation—0
Perturbation-based Effect Measures for Compositional DataCode0
OmniMotionGPT: Animal Motion Generation with Limited Data—0
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training—0
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningCode0
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics—0
Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset—0
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component AnalysisCode0
Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames—0
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play—0
StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models—0
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization—0
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering—0
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models—0
Exploring Attribute Variations in Style-based GANs using Diffusion Models—0
Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor NetworksCode0
Reinforcement Learning from Diffusion Feedback: Q* for Image Search—0
GAIA: Zero-shot Talking Avatar Generation—0
CUCL: Codebook for Unsupervised Continual LearningCode0
RandMSAugment: A Mixed-Sample Augmentation for Limited-Data Scenarios—0
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—0
Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles—0
Touring sampling with pushforward maps—0
Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and DivergenceCode0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
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