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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
Class-Aware Mask-Guided Feature Refinement for Scene Text RecognitionCode1
Geometry-Informed Neural NetworksCode2
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound DatabaseCode0
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickCode0
Robust Model Predictive Control for nonlinear discrete-time systems using iterative time-varying constraint tightening—0
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7TCode1
NeRF Solves Undersampled MRI Reconstruction—0
Parallel Structures in Pre-training Data Yield In-Context LearningCode0
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation—0
MGF: Mixed Gaussian Flow for Diverse Trajectory PredictionCode1
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models—0
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach—0
PreAct: Prediction Enhances Agent's Planning AbilityCode1
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning—0
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation StrategiesCode1
ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual ConnectionsCode1
MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions—0
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language ModelsCode1
Exploring Precision and Recall to assess the quality and diversity of LLMsCode0
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQLCode0
Python is Not Always the Best Choice: Embracing Multilingual Program of ThoughtsCode0
Instruction Diversity Drives Generalization To Unseen Tasks—0
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data—0
How to Train Data-Efficient LLMs—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Symmetry-Breaking Augmentations for Ad Hoc Teamwork—0
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence—0
Discovering Sensorimotor Agency in Cellular Automata using Diversity SearchCode0
Cosmic radiation drives quasi-periodic changes in the diversity of siliceous marine microplankton—0
Generating Diverse Translation with Perturbed kNN-MT—0
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition—0
Dataset Clustering for Improved Offline Policy LearningCode0
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language ModelsCode2
MaxMin-RLHF: Alignment with Diverse Human Preferences—0
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning—0
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
Understanding fitness landscapes in morpho-evolution via local optima networks—0
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model—0
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study—0
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic ParadigmCode0
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
A two-stage algorithm in evolutionary product unit neural networks for classification—0
Monopoly agenda control with privately informed voters—0
Towards a Systematic Approach to Design New Ensemble Learning AlgorithmsCode0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Rethinking Data Selection for Supervised Fine-Tuning—0
Scrapping The Web For Early Wildfire Detection: A New Annotated Dataset of Images and Videos of Smoke Plumes In-the-wild—0
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language ModelsCode0
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