Saved in:
| Main Authors: | Gracyk, Andrew, Chen, Xiaohui |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2209.14440 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stereographic Spherical Sliced Wasserstein Distances
by: Tran, Huy, et al.
Published: (2024)
by: Tran, Huy, et al.
Published: (2024)
Dataset Distillation via the Wasserstein Metric
by: Liu, Haoyang, et al.
Published: (2023)
by: Liu, Haoyang, et al.
Published: (2023)
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025)
by: Fan, Jiajun, et al.
Published: (2025)
Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Evaluating alignment between humans and neural network representations in image-based learning tasks
by: Demircan, Can, et al.
Published: (2023)
by: Demircan, Can, et al.
Published: (2023)
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
by: Zheng, Bowen, et al.
Published: (2026)
by: Zheng, Bowen, et al.
Published: (2026)
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
by: Yang, Yang
Published: (2024)
by: Yang, Yang
Published: (2024)
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
by: Lv, Jiaming, et al.
Published: (2024)
by: Lv, Jiaming, et al.
Published: (2024)
Wasserstein Distances Made Explainable: Insights Into Dataset Shifts and Transport Phenomena
by: Naumann, Philip, et al.
Published: (2025)
by: Naumann, Philip, et al.
Published: (2025)
PATCH: a deep learning method to assess heterogeneity of artistic practice in historical paintings
by: Van Horn, Andrew, et al.
Published: (2025)
by: Van Horn, Andrew, et al.
Published: (2025)
Adaptive Image Registration: A Hybrid Approach Integrating Deep Learning and Optimization Functions for Enhanced Precision
by: De Araujo, Gabriel, et al.
Published: (2023)
by: De Araujo, Gabriel, et al.
Published: (2023)
Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices
by: Tran, Huy, et al.
Published: (2024)
by: Tran, Huy, et al.
Published: (2024)
GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation
by: Carlesso, Hugo, et al.
Published: (2025)
by: Carlesso, Hugo, et al.
Published: (2025)
FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
by: Saha, Pramit, et al.
Published: (2024)
by: Saha, Pramit, et al.
Published: (2024)
Can neural networks count digit frequency?
by: Khandelwal, Padmaksh
Published: (2023)
by: Khandelwal, Padmaksh
Published: (2023)
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
by: Rolf, Esther, et al.
Published: (2024)
by: Rolf, Esther, et al.
Published: (2024)
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture
by: Dutta, Prasun, et al.
Published: (2025)
by: Dutta, Prasun, et al.
Published: (2025)
1.58-bit FLUX
by: Yang, Chenglin, et al.
Published: (2024)
by: Yang, Chenglin, et al.
Published: (2024)
A foundation for exact binarized morphological neural networks
by: Aouad, Theodore, et al.
Published: (2024)
by: Aouad, Theodore, et al.
Published: (2024)
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
by: Wang, Xiaohui, et al.
Published: (2025)
by: Wang, Xiaohui, et al.
Published: (2025)
Kinematic analysis of structural mechanics based on convolutional neural network
by: Zhang, Leye, et al.
Published: (2024)
by: Zhang, Leye, et al.
Published: (2024)
Learning Fourier shapes to probe the geometric world of deep neural networks
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
by: Huber, Lukas S., et al.
Published: (2024)
by: Huber, Lukas S., et al.
Published: (2024)
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
by: Guo, Liangxuan, et al.
Published: (2023)
by: Guo, Liangxuan, et al.
Published: (2023)
Implicit neural representation of textures
by: Kwok, Albert, et al.
Published: (2026)
by: Kwok, Albert, et al.
Published: (2026)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
A3-FPN: Asymptotic Content-Aware Pyramid Attention Network for Dense Visual Prediction
by: Qin, Meng'en, et al.
Published: (2026)
by: Qin, Meng'en, et al.
Published: (2026)
GeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation
by: Panaccione, Francesca Pia, et al.
Published: (2026)
by: Panaccione, Francesca Pia, et al.
Published: (2026)
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)
Sign language recognition from skeletal data using graph and recurrent neural networks
by: Mederos, B., et al.
Published: (2025)
by: Mederos, B., et al.
Published: (2025)
Exploring possible vector systems for faster training of neural networks with preconfigured latent spaces
by: Gabdullin, Nikita
Published: (2025)
by: Gabdullin, Nikita
Published: (2025)
A large-scale operational study of fingerprint quality and demographics
by: Galbally, Javier, et al.
Published: (2024)
by: Galbally, Javier, et al.
Published: (2024)
Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
by: Sellner, Jan, et al.
Published: (2024)
by: Sellner, Jan, et al.
Published: (2024)
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
by: Rabadán, Miquel Martí i, et al.
Published: (2026)
by: Rabadán, Miquel Martí i, et al.
Published: (2026)
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
by: Dorneles, Lucas M., et al.
Published: (2025)
by: Dorneles, Lucas M., et al.
Published: (2025)
Human-like visual computing advances explainability and few-shot learning in deep neural networks for complex physiological data
by: Alahmadi, Alaa, et al.
Published: (2025)
by: Alahmadi, Alaa, et al.
Published: (2025)
CompCap: Improving Multimodal Large Language Models with Composite Captions
by: Chen, Xiaohui, et al.
Published: (2024)
by: Chen, Xiaohui, et al.
Published: (2024)
Searching for internal symbols underlying deep learning
by: Lee, Jung H., et al.
Published: (2024)
by: Lee, Jung H., et al.
Published: (2024)
Review of multimodal machine learning approaches in healthcare
by: Krones, Felix, et al.
Published: (2024)
by: Krones, Felix, et al.
Published: (2024)
Similar Items
-
Stereographic Spherical Sliced Wasserstein Distances
by: Tran, Huy, et al.
Published: (2024) -
Dataset Distillation via the Wasserstein Metric
by: Liu, Haoyang, et al.
Published: (2023) -
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025) -
Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024) -
Evaluating alignment between humans and neural network representations in image-based learning tasks
by: Demircan, Can, et al.
Published: (2023)