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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 2801–2850 of 9051 papers

TitleStatusHype
Soft-Label Integration for Robust Toxicity ClassificationCode0
LEAD: Latent Realignment for Human Motion Diffusion—0
Measuring Diversity: Axioms and Challenges—0
DFlow: Diverse Dialogue Flow Simulation with Large Language Models—0
MetaAlign: Align Large Language Models with Diverse Preferences during Inference TimeCode0
Improving the Estimation of Attenuation in Q/V Band Systems with a Kalman-Based Scintillation Filter—0
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language—0
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks—0
The Disparate Benefits of Deep EnsemblesCode0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
360U-Former: HDR Illumination Estimation with Panoramic Adapted Vision Transformers—0
Instruction-Driven Game Engine: A Poker Case Study—0
An Active Learning Framework for Inclusive Generation by Large Language Models—0
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph—0
Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-Token Probability—0
Multi-trait User Simulation with Adaptive Decoding for Conversational Task AssistantsCode0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
ERVQ: Enhanced Residual Vector Quantization with Intra-and-Inter-Codebook Optimization for Neural Audio Codecs—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
Preference Optimization with Multi-Sample Comparisons—0
Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
Encoding architecture algebra—0
Cross-Dataset Generalization in Deep Learning—0
Unveiling the Mystery of Visual Attributes of Concrete and Abstract Concepts: Variability, Nearest Neighbors, and Challenging CategoriesCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Hairmony: Fairness-aware hairstyle classification—0
Reading Yule in light of the history and present of macroevolution—0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image SegmentationCode0
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English—0
Personas with Attitudes: Controlling LLMs for Diverse Data AnnotationCode0
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning—0
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion ModelsCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection—0
Diversity-Aware Reinforcement Learning for de novo Drug Design—0
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes—0
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model—0
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation—0
Towards the Synthesis of Non-speech Vocalizations—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
Hybrid Training Approaches for LLMs: Leveraging Real and Synthetic Data to Enhance Model Performance in Domain-Specific Applications—0
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion—0
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