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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 201–225 of 9051 papers

TitleStatusHype
Training-Free Consistent Text-to-Image GenerationCode2
Retrieval-Augmented Score Distillation for Text-to-3D GenerationCode2
SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in ChineseCode2
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic RoomsCode2
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
Large Language Models Can Learn Temporal ReasoningCode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
SVGDreamer: Text Guided SVG Generation with Diffusion ModelCode2
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAXCode2
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
Boosting Latent Diffusion with Flow MatchingCode2
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction ModelCode2
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single ImageCode2
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot CoordinationCode2
GenSim: Generating Robotic Simulation Tasks via Large Language ModelsCode2
Grasp-Anything: Large-scale Grasp Dataset from Foundation ModelsCode2
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose EstimationCode2
Residual Denoising Diffusion ModelsCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
FLatten Transformer: Vision Transformer using Focused Linear AttentionCode2
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point TrackingCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
Self-regulating Prompts: Foundational Model Adaptation without ForgettingCode2
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