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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 701–725 of 9051 papers

TitleStatusHype
Score-Based Generative Models for Designing Binding Peptide BackbonesCode1
Understanding the Effects of RLHF on LLM Generalisation and DiversityCode1
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory PredictionCode1
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersCode1
Toward a Plug-and-Play Vision-Based Grasping Module for RoboticsCode1
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping DatasetsCode1
On the Embedding Collapse when Scaling up Recommendation ModelsCode1
Amortizing intractable inference in large language modelsCode1
Can pre-trained models assist in dataset distillation?Code1
Multimodal Question Answering for Unified Information ExtractionCode1
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and BeyondCode1
Sieve: Multimodal Dataset Pruning Using Image Captioning ModelsCode1
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationCode1
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse TransformationCode1
Structure Invariant Transformation for better Adversarial TransferabilityCode1
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy AssessmentCode1
Euler-Lagrange Analysis of Generative Adversarial NetworksCode1
Design of Chain-of-Thought in Math Problem SolvingCode1
NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource LanguagesCode1
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
Large-Vocabulary 3D Diffusion Model with TransformerCode1
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology ImagesCode1
Masked Generative Modeling with Enhanced Sampling SchemeCode1
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