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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 1726–1750 of 9051 papers

TitleStatusHype
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual MatchingCode0
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
Diversity-Aware Policy Optimization for Large Language Model Reasoning—0
Interspeech 2025 URGENT Speech Enhancement Challenge—0
Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation—0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion—0
Jailbreak Distillation: Renewable Safety Benchmarking—0
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving—0
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates—0
Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation—0
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive LearningCode0
Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory—0
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion—0
PoisonSwarm: Universal Harmful Information Synthesis via Model Crowdsourcing—0
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation—0
Response to comment on Mutualism weaken the latitudinal diversity gradient among oceanic islandsCode0
CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge—0
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts—0
Counterfactual Multi-player Bandits for Explainable Recommendation DiversificationCode0
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