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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 2401–2450 of 9051 papers

TitleStatusHype
Unity in Diversity: Video Editing via Gradient-Latent Purification—0
Keyframe-Guided Creative Video Inpainting—0
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models—0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning—0
Scaling up Image Segmentation across Data and Tasks—0
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level TasksCode0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Linear Precoding Design for OTFS Systems in Time/Frequency Selective Fading Channels—0
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs—0
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection—0
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense—0
Exploring and Controlling Diversity in LLM-Agent Conversation—0
Enhancing Annotated Bibliography Generation with LLM Ensembles—0
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced EvolutionCode0
Intrinsic meaning, perception, and matching—0
PQD: Post-training Quantization for Efficient Diffusion Models—0
The Synergy of Automated Pipelines with Prompt Engineering and Generative AI in Web Crawling—0
Revealing the Shape of Genome Space via K-mer TopologyCode0
Multi-scale Latent Point Consistency Models for 3D Shape Generation—0
Attribution for Enhanced Explanation with Transferable Adversarial eXploration—0
Focusing Image Generation to Mitigate Spurious Correlations—0
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Diverse Rare Sample Generation with Pretrained GANsCode0
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control—0
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models—0
Experimental Study of RCS Diversity with Novel No-divergent OAM Beams—0
Dissecting CLIP: Decomposition with a Schur Complement-based ApproachCode0
LatentCRF: Continuous CRF for Efficient Latent Diffusion—0
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi—0
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation—0
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning—0
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models—0
Boosting LLM via Learning from Data Iteratively and SelectivelyCode0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak—0
Detail-Preserving Latent Diffusion for Stable Shadow Removal—0
BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationCode0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network—0
A diversity-enhanced genetic algorithm for efficient exploration of parameter spacesCode0
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?—0
Acquisition of Recursive Possessives and Recursive Locatives in Mandarin—0
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning—0
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