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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 4551–4600 of 9051 papers

TitleStatusHype
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation—0
3D Neural Field Generation using Triplane Diffusion—0
A minor extension of the logistic equation for growth of word counts on online media: Parametric description of diversity of growth phenomena in society—0
Evaluating and reducing the distance between synthetic and real speech distributions—0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model—0
Disentangled Generation with Information Bottleneck for Few-Shot Learning—0
UDE: A Unified Driving Engine for Human Motion GenerationCode1
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph CaptioningCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding—0
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
Generative Modeling in Structural-Hankel Domain for Color Image InpaintingCode1
Secure Power Control for Downlink Cell-Free Massive MIMO With Passive Eavesdroppers—0
Prosody-controllable spontaneous TTS with neural HMMs—0
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems—0
Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture Models—0
SciRepEval: A Multi-Format Benchmark for Scientific Document RepresentationsCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Discovering Unsupervised Behaviours from Full-State Trajectories—0
Efficient Exploration using Model-Based Quality-Diversity with Gradients—0
Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge—0
Best-k Search Algorithm for Neural Text Generation—0
Person Image Synthesis via Denoising Diffusion ModelCode2
SinDiffusion: Learning a Diffusion Model from a Single Natural ImageCode2
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image GenerationCode1
FLEX: Full-Body Grasping Without Full-Body Grasps—0
SinFusion: Training Diffusion Models on a Single Image or VideoCode1
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
Evolutionary Strategies for the Design of Binary Linear Codes—0
Plug and Play Active Learning for Object DetectionCode1
Automating Rigid Origami DesignCode1
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models—0
Cultural Incongruencies in Artificial Intelligence—0
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals—0
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text GenerationCode1
EDGE: Editable Dance Generation From MusicCode2
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture—0
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification—0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization—0
Social Diversity Reduces the Complexity and Cost of Fostering Fairness—0
Weighted Ensemble Self-Supervised Learning—0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Vision Transformers in Medical Imaging: A Review—0
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationCode1
Delving into Transformer for Incremental Semantic Segmentation—0
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot SummarizationCode1
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