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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 101–150 of 9051 papers

TitleStatusHype
GroundingSuite: Measuring Complex Multi-Granular Pixel GroundingCode2
ProtComposer: Compositional Protein Structure Generation with 3D EllipsoidsCode2
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal ModelsCode2
Delta Decompression for MoE-based LLMs CompressionCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Diverse Preference OptimizationCode2
General Scene Adaptation for Vision-and-Language NavigationCode2
Visual Generation Without GuidanceCode2
Test-time Alignment of Diffusion Models without Reward Over-optimizationCode2
Magic Mirror: ID-Preserved Video Generation in Video Diffusion TransformersCode2
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsCode2
RecLM: Recommendation Instruction TuningCode2
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
Guiding Generative Protein Language Models with Reinforcement LearningCode2
EvalGIM: A Library for Evaluating Generative Image ModelsCode2
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image InpaintingCode2
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data GenerationCode2
Find Any Part in 3DCode2
Dialectal Coverage And Generalization in Arabic Speech RecognitionCode2
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-MakingCode2
Learning General-Purpose Biomedical Volume Representations using Randomized SynthesisCode2
EgoMimic: Scaling Imitation Learning via Egocentric VideoCode2
Flaming-hot Initiation with Regular Execution Sampling for Large Language ModelsCode2
MiniPLM: Knowledge Distillation for Pre-Training Language ModelsCode2
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language ModelsCode2
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven InteractionsCode2
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary SegmentationCode2
HSIGene: A Foundation Model For Hyperspectral Image GenerationCode2
Vista3D: Unravel the 3D Darkside of a Single ImageCode2
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy OptimizationCode2
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
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event PredictionCode2
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian LanguagesCode2
NAVIX: Scaling MiniGrid Environments with JAXCode2
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer VisionCode2
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music GenerationCode2
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth EstimationCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
GalLoP: Learning Global and Local Prompts for Vision-Language ModelsCode2
PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation TasksCode2
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language ModelsCode2
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