SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7926–7950 of 9051 papers

TitleStatusHype
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis—0
Cyclic Delay-Doppler Shift: A Simple Transmit Diversity Technique for Delay-Doppler Waveforms in Doubly Selective Channels—0
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings—0
Cyclic Prefix (CP) Jamming Against Eavesdropping Relays in OFDM Systems—0
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited—0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios—0
Cosine Similarity of Multimodal Content Vectors for TV Programmes—0
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning—0
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection—0
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Correlated Errors in Large Language Models—0
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation—0
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection—0
Corpus Development of Kiswahili Speech Recognition Test and Evaluation sets, Preemptively Mitigating Demographic Bias Through Collaboration with Linguists—0
Corpus COFLA: A research corpus for the Computational study of Flamenco Music—0
DAL: Dual Adversarial Learning for Dialogue Generation—0
Daleel: Simplifying Cloud Instance Selection Using Machine Learning—0
Corpus-based Content Construction—0
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder—0
Show:102550
← PrevPage 318 of 363Next →

No leaderboard results yet.