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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 1301–1350 of 9051 papers

TitleStatusHype
Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)Code0
Improving Model Evaluation using SMART Filtering of Benchmark DatasetsCode3
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder—0
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction—0
How high dimensional neural dynamics are confined in phase space—0
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization—0
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation—0
Semi-supervised Chinese Poem-to-Painting Generation via Cycle-consistent Adversarial NetworksCode0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges—0
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis—0
Heterogeneous Random ForestCode0
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Retrieving Implicit and Explicit Emotional Events Using Large Language Models—0
LLMs for Extremely Low-Resource Finno-Ugric LanguagesCode0
Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization—0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions—0
Creating and Repairing Robot Programs in Open-World Domains—0
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms—0
C^2: Scalable Auto-Feedback for LLM-based Chart GenerationCode1
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation FrameworkCode0
Single-Shot Phase Diversity Wavefront Sensing in Deep Turbulence via Metasurface Optics—0
KMS states of Information Flow in Directed Brain Synaptic Networks—0
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems—0
Exploring structure diversity in atomic resolution microscopy with graph neural networks—0
Towards a Similarity-adjusted Surprisal Theory—0
Quantifying the Risks of Tool-assisted Rephrasing to Linguistic Diversity—0
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks—0
R-CoT: Reverse Chain-of-Thought Problem Generation for Geometric Reasoning in Large Multimodal ModelsCode5
Differentially Private Learning Needs Better Model Initialization and Self-DistillationCode0
Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models—0
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion AugmentationCode0
Deep Generative Models for 3D Medical Image Synthesis—0
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models—0
Scattered Forest Search: Smarter Code Space Exploration with LLMs—0
Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement—0
Audio-to-Score Conversion Model Based on Whisper methodology—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Reinforcement learning on structure-conditioned categorical diffusion for protein inverse foldingCode1
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
Enhancing Low-Resource ASR through Versatile TTS: Bridging the Data Gap—0
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning—0
MiniPLM: Knowledge Distillation for Pre-Training Language ModelsCode2
Test-time Adaptation for Cross-modal Retrieval with Query Shift—0
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?Code1
A Paradigm Shift in Mouza Map Vectorization: A Human-Machine Collaboration Approach—0
ComPO: Community Preferences for Language Model Personalization—0
Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery—0
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