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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 1701–1750 of 9051 papers

TitleStatusHype
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity—0
PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data—0
Merging and Splitting Diffusion Paths for Semantically Coherent PanoramasCode1
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology—0
Leveraging Open Knowledge for Advancing Task Expertise in Large Language ModelsCode0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance—0
EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory—0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
Text3DAug -- Prompted Instance Augmentation for LiDAR PerceptionCode1
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its TeacherCode0
Diversity and Multiplexing for Continuous Aperture Array (CAPA)-Based Communications—0
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation—0
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated CodesCode0
Segment Any Mesh: Zero-shot Mesh Part Segmentation via Lifting Segment Anything 2 to 3DCode2
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationCode2
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification—0
T3M: Text Guided 3D Human Motion Synthesis from SpeechCode1
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning—0
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation—0
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
Causal-Guided Active Learning for Debiasing Large Language ModelsCode1
HiFAKES: High-frequency synthetic appliance signatures generator for non-intrusive load monitoring—0
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance—0
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation—0
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging—0
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender SystemsCode0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup TransferCode0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset—0
Interpretable Long-term Action Quality AssessmentCode1
LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR SystemsCode0
Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning—0
Lookism: The overlooked bias in computer vision—0
Mechanics promotes coherence in heterogeneous active media—0
Compress Guidance in Conditional Diffusion Sampling—0
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised PretrainingCode1
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring TechniqueCode1
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models—0
Diversity and stylization of the contemporary user-generated visual arts in the complexity-entropy plane—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—0
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts—0
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language ModelsCode1
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems—0
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs—0
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