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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 1101–1150 of 9051 papers

TitleStatusHype
Can 3D Vision-Language Models Truly Understand Natural Language?Code1
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
Can pre-trained models assist in dataset distillation?Code1
Data Curation Alone Can Stabilize In-context LearningCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
BanglaParaphrase: A High-Quality Bangla Paraphrase DatasetCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
Generative Flow Network for Listwise RecommendationCode1
Generative Meta-Learning Robust Quality-Diversity PortfolioCode1
Generative Modeling in Structural-Hankel Domain for Color Image InpaintingCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
Bootstrapping Referring Multi-Object TrackingCode1
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsCode1
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain RemovalCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide GenerationCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Bayesian Adversarial Human Motion SynthesisCode1
Chain-of-Choice Hierarchical Policy Learning for Conversational RecommendationCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive TestingCode1
Goals as Reward-Producing ProgramsCode1
BoostTree and BoostForest for Ensemble LearningCode1
GLAMOUR: Graph Learning over Macromolecule RepresentationsCode1
GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection MethodCode1
Graph Meta Network for Multi-Behavior RecommendationCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
CityPersons: A Diverse Dataset for Pedestrian DetectionCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
Class-Aware Mask-Guided Feature Refinement for Scene Text RecognitionCode1
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelCode1
Adaptively Sparse TransformersCode1
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual GroundingCode1
Clotho: An Audio Captioning DatasetCode1
CLoG: Benchmarking Continual Learning of Image Generation ModelsCode1
Group-wise Inhibition based Feature Regularization for Robust ClassificationCode1
Frequency Domain Model Augmentation for Adversarial AttackCode1
Fractal Autoencoders for Feature SelectionCode1
A View From Somewhere: Human-Centric Face RepresentationsCode1
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingCode1
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