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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 1401–1450 of 9051 papers

TitleStatusHype
Can LLMs Patch Security Issues?Code1
LTL2Action: Generalizing LTL Instructions for Multi-Task RLCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Can pre-trained models assist in dataset distillation?Code1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
Mapping Researchers with PeopleMapCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Masked Generative Modeling with Enhanced Sampling SchemeCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
MAT: Multi-Range Attention Transformer for Efficient Image Super-ResolutionCode1
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationCode1
Controllable Video Captioning with an Exemplar SentenceCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
Controllable Multi-Interest Framework for RecommendationCode1
Controllable Group Choreography using Contrastive DiffusionCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
Memory Sharing for Large Language Model based AgentsCode1
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training DynamicsCode1
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer TasksCode1
Metric Space Magnitude for Evaluating the Diversity of Latent RepresentationsCode1
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-TuningCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM ImagesCode1
MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error CorrectionCode1
MLGO: a Machine Learning Guided Compiler Optimizations FrameworkCode1
Adversarial Feature Hallucination Networks for Few-Shot LearningCode1
MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment DatabaseCode1
MMRel: A Relation Understanding Benchmark in the MLLM EraCode1
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
Answering Ambiguous Questions via Iterative PromptingCode1
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
Monocular Human-Object Reconstruction in the WildCode1
Monte Carlo Policy Gradient Method for Binary OptimizationCode1
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story GenerationCode1
Causal-Guided Active Learning for Debiasing Large Language ModelsCode1
Color Space Learning for Cross-Color Person Re-IdentificationCode1
Multi-head Attention-based Deep Multiple Instance LearningCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
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