:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Ruijie, Nguyen, Thuan, Ishwar, Prakash, Aeron, Shuchin
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2209.00078
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse
por: Jiang, Ruijie, et al.
Publicado: (2023)

Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets
por: Nguyen, Thuan, et al.
Publicado: (2026)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
por: Huang, Zhe, et al.
Publicado: (2023)

Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport
por: Mallery, Brendan, et al.
Publicado: (2025)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
por: Abbasi, Ahmed, et al.
Publicado: (2022)

Constraint-Aware Flow Matching via Randomized Exploration
por: Huan, Zhengyan, et al.
Publicado: (2025)

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
por: Werenski, Matthew, et al.
Publicado: (2024)

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering
por: Hoang, Duy, et al.
Publicado: (2025)

Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
por: Gaur, Mudit, et al.
Publicado: (2025)

The Ensemble Inverse Problem: Applications and Methods
por: Huan, Zhengyan, et al.
Publicado: (2026)

Contrastive Learning with Negative Sampling Correction
por: Wang, Lu, et al.
Publicado: (2024)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
por: Karlov, Mark, et al.
Publicado: (2024)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
por: Lee, Chaejeong, et al.
Publicado: (2024)

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
por: Niu, Chaoxi, et al.
Publicado: (2023)

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives
por: Wang, Zihu, et al.
Publicado: (2025)

Semi-Supervised Contrastive Learning with Orthonormal Prototypes
por: Li, Huanran, et al.
Publicado: (2025)

Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images
por: Imani, Zeviel, et al.
Publicado: (2023)

Multi-level Supervised Contrastive Learning
por: Ghanooni, Naghmeh, et al.
Publicado: (2025)

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
por: Huang, Yongqi, et al.
Publicado: (2025)

Variational Supervised Contrastive Learning
por: Wang, Ziwen, et al.
Publicado: (2025)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
por: Luthra, Achleshwar, et al.
Publicado: (2025)

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection
por: Sudan, Jaskirat, et al.
Publicado: (2026)

Hard Negative Sample-Augmented DPO Post-Training for Small Language Models
por: Lu, Haocheng, et al.
Publicado: (2025)

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples
por: Yu, Jianxiang, et al.
Publicado: (2022)

Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models
por: Huang, Xin, et al.
Publicado: (2025)

Weakly Supervised Learning on Large Graphs
por: Prakash, Aditya
Publicado: (2025)

Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models
por: Prakash, Arushi, et al.
Publicado: (2024)

Minimax-Optimal Two-Sample Test with Sliced Wasserstein
por: Tran, Binh Thuan, et al.
Publicado: (2025)

Multiplex Graph Contrastive Learning with Soft Negatives
por: Zhao, Zhenhao, et al.
Publicado: (2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
por: Jo, Dae Ung, et al.
Publicado: (2024)

A 1-D CNN inference engine for constrained platforms
por: Mudraje, Ishwar, et al.
Publicado: (2025)

On the Alignment Between Supervised and Self-Supervised Contrastive Learning
por: Luthra, Achleshwar, et al.
Publicado: (2025)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
por: Ai, Wei, et al.
Publicado: (2024)

When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
por: Zhang, Zhicheng, et al.
Publicado: (2026)

Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains
por: Cao, Meng, et al.
Publicado: (2026)

Bayesian Self-Supervised Contrastive Learning
por: Liu, Bin, et al.
Publicado: (2023)

No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
por: Pham, Hai X., et al.
Publicado: (2026)

On non-parametric density estimation on linear and non-linear manifolds using generalized Radon transforms
por: Webber, James, et al.
Publicado: (2019)

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
por: Cha, Sungmin, et al.
Publicado: (2023)

Diffusion-based Negative Sampling on Graphs for Link Prediction
por: Nguyen, Trung-Kien, et al.
Publicado: (2024)