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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
Toward Improving Robustness of Object Detectors Against Domain ShiftCode1
AAMDM: Accelerated Auto-regressive Motion Diffusion Model—0
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization—0
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial SensorsCode1
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
Biased Random-Key Genetic Algorithms: A Review—0
Sequential Modeling Enables Scalable Learning for Large Vision ModelsCode3
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing—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
Generative artificial intelligence enhances creativity but reduces the diversity of novel content—0
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training—0
Perturbation-based Effect Measures for Compositional DataCode0
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningCode0
OmniMotionGPT: Animal Motion Generation with Limited Data—0
Few-shot Image Generation via Style Adaptation and Content Preservation—0
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component AnalysisCode0
Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language ModelCode3
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics—0
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised CalibrationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset—0
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion ModelCode1
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