Towards noise contrastive estimation with soft targets for conditional models
Fuente:
arXiv
Saved in:
| Main Authors: | Hugger, Johannes, Uhlmann, Virginie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
by: van der Plas, Thijs L, et al.
Published: (2025)
by: van der Plas, Thijs L, et al.
Published: (2025)
Generalization properties of contrastive world models
by: Ramakrishnan, Kandan, et al.
Published: (2023)
by: Ramakrishnan, Kandan, et al.
Published: (2023)
Towards SFW sampling for diffusion models via external conditioning
by: Reyes, Camilo Carvajal, et al.
Published: (2025)
by: Reyes, Camilo Carvajal, et al.
Published: (2025)
Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
by: Fuster-Barceló, Caterina, et al.
Published: (2026)
by: Fuster-Barceló, Caterina, et al.
Published: (2026)
ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)
by: Salaudeen, Olawale, et al.
Published: (2024)
Blue noise for diffusion models
by: Huang, Xingchang, et al.
Published: (2024)
by: Huang, Xingchang, et al.
Published: (2024)
Video prediction using score-based conditional density estimation
by: Fiquet, Pierre-Étienne H., et al.
Published: (2024)
by: Fiquet, Pierre-Étienne H., et al.
Published: (2024)
The LongiMam model for improved breast cancer risk prediction using longitudinal mammograms
by: Rakez, Manel, et al.
Published: (2025)
by: Rakez, Manel, et al.
Published: (2025)
Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
by: Grzywaczewski, Jakub, et al.
Published: (2026)
by: Grzywaczewski, Jakub, et al.
Published: (2026)
Structure-preserving contrastive learning for spatial time series
by: Jiao, Yiru, et al.
Published: (2025)
by: Jiao, Yiru, et al.
Published: (2025)
Understanding normalization in contrastive representation learning and out-of-distribution detection
by: Le-Gia, Tai, et al.
Published: (2023)
by: Le-Gia, Tai, et al.
Published: (2023)
Pseudolabel guided pixels contrast for domain adaptive semantic segmentation
by: Xiang, Jianzi, et al.
Published: (2025)
by: Xiang, Jianzi, et al.
Published: (2025)
Context-self contrastive pretraining for crop type semantic segmentation
by: Tarasiou, Michail, et al.
Published: (2021)
by: Tarasiou, Michail, et al.
Published: (2021)
Zero-shot domain adaptation based on dual-level mix and contrast
by: Zhe, Yu, et al.
Published: (2024)
by: Zhe, Yu, et al.
Published: (2024)
Inverse problems with diffusion models: MAP estimation via mode-seeking loss
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)
by: Gutha, Sai Bharath Chandra, et al.
Published: (2025)
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
by: Louiset, Robin, et al.
Published: (2023)
by: Louiset, Robin, et al.
Published: (2023)
Edge-preserving noise for diffusion models
by: Vandersanden, Jente, et al.
Published: (2024)
by: Vandersanden, Jente, et al.
Published: (2024)
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
by: Drees, Lukas, et al.
Published: (2023)
by: Drees, Lukas, et al.
Published: (2023)
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
by: Zhang, Jingfeng, et al.
Published: (2023)
by: Zhang, Jingfeng, et al.
Published: (2023)
Towards a general-purpose foundation model for fMRI analysis
by: Wang, Cheng, et al.
Published: (2025)
by: Wang, Cheng, et al.
Published: (2025)
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
by: Stalder, Nicolas, et al.
Published: (2026)
by: Stalder, Nicolas, et al.
Published: (2026)
SDS-Net: Shallow-Deep Synergism-detection Network for infrared small target detection
by: Yue, Taoran, et al.
Published: (2025)
by: Yue, Taoran, et al.
Published: (2025)
Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
Towards agricultural autonomy: crop row detection under varying field conditions using deep learning
by: de Silva, Rajitha, et al.
Published: (2021)
by: de Silva, Rajitha, et al.
Published: (2021)
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping
by: Johnson, Lucas K., et al.
Published: (2024)
by: Johnson, Lucas K., et al.
Published: (2024)
MCM: Multi-condition Motion Synthesis Framework
by: Ling, Zeyu, et al.
Published: (2024)
by: Ling, Zeyu, et al.
Published: (2024)
Deepfake Detection of Face Images based on a Convolutional Neural Network
by: Kroiß, Lukas, et al.
Published: (2025)
by: Kroiß, Lukas, et al.
Published: (2025)
Multi-conditioned Graph Diffusion for Neural Architecture Search
by: Asthana, Rohan, et al.
Published: (2024)
by: Asthana, Rohan, et al.
Published: (2024)
ViTCAE: ViT-based Class-conditioned Autoencoder
by: Jebraeeli, Vahid, et al.
Published: (2025)
by: Jebraeeli, Vahid, et al.
Published: (2025)
Unsupervised visualization of image datasets using contrastive learning
by: Böhm, Jan Niklas, et al.
Published: (2022)
by: Böhm, Jan Niklas, et al.
Published: (2022)
Reproducible scaling laws for contrastive language-image learning
by: Cherti, Mehdi, et al.
Published: (2022)
by: Cherti, Mehdi, et al.
Published: (2022)
Deep learning for objective estimation of Parkinsonian tremor severity
by: Duque-Quiceno, Felipe, et al.
Published: (2024)
by: Duque-Quiceno, Felipe, et al.
Published: (2024)
AtlasMorph: Learning conditional deformable templates for brain MRI
by: Rakic, Marianne, et al.
Published: (2025)
by: Rakic, Marianne, et al.
Published: (2025)
SaliencyI2PLoc: saliency-guided image-point cloud localization using contrastive learning
by: Li, Yuhao, et al.
Published: (2024)
by: Li, Yuhao, et al.
Published: (2024)
SemPPL: Predicting pseudo-labels for better contrastive representations
by: Bošnjak, Matko, et al.
Published: (2023)
by: Bošnjak, Matko, et al.
Published: (2023)
Foul prediction with estimated poses from soccer broadcast video
by: Fang, Jiale, et al.
Published: (2024)
by: Fang, Jiale, et al.
Published: (2024)
Probabilistic Bayesian optimal experimental design using conditional normalizing flows
by: Orozco, Rafael, et al.
Published: (2024)
by: Orozco, Rafael, et al.
Published: (2024)
Forest canopy height estimation from satellite RGB imagery using large-scale airborne LiDAR-derived training data and monocular depth estimation
by: Lai, Yongkang, et al.
Published: (2026)
by: Lai, Yongkang, et al.
Published: (2026)
What to align in multimodal contrastive learning?
by: Dufumier, Benoit, et al.
Published: (2024)
by: Dufumier, Benoit, et al.
Published: (2024)
Similar Items
-
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
by: van der Plas, Thijs L, et al.
Published: (2025) -
Generalization properties of contrastive world models
by: Ramakrishnan, Kandan, et al.
Published: (2023) -
Towards SFW sampling for diffusion models via external conditioning
by: Reyes, Camilo Carvajal, et al.
Published: (2025) -
Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
by: Fuster-Barceló, Caterina, et al.
Published: (2026) -
ImageNot: A contrast with ImageNet preserves model rankings
by: Salaudeen, Olawale, et al.
Published: (2024)