Saved in:
| Main Authors: | Shenoy, Jayanth, Zhang, Xingjian Davis, Mehrotra, Shlok, Tao, Bill, Yang, Rem, Zhao, Han, Vasisht, Deepak |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.01656 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Supervised Scalable Deep Compressed Sensing
by: Chen, Bin, et al.
Published: (2023)
by: Chen, Bin, et al.
Published: (2023)
Modulate Your Spectrum in Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2023)
by: Weng, Xi, et al.
Published: (2023)
Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike
by: Danda, Sravan, et al.
Published: (2026)
by: Danda, Sravan, et al.
Published: (2026)
Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023)
by: Yoo, Jaemin, et al.
Published: (2023)
SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing
by: Straka, Jakub, et al.
Published: (2025)
by: Straka, Jakub, et al.
Published: (2025)
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
by: Si, Haozhe, et al.
Published: (2025)
by: Si, Haozhe, et al.
Published: (2025)
When Test-Time Adaptation Meets Self-Supervised Models
by: Han, Jisu, et al.
Published: (2025)
by: Han, Jisu, et al.
Published: (2025)
Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry
by: Sie, Emerson, et al.
Published: (2023)
by: Sie, Emerson, et al.
Published: (2023)
SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)
by: Kaczmarek, Emily, et al.
Published: (2025)
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2020)
by: Bai, Chenjia, et al.
Published: (2020)
Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
by: Sarkar, Aditya, et al.
Published: (2026)
by: Sarkar, Aditya, et al.
Published: (2026)
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
by: Mena, Francisco, et al.
Published: (2024)
by: Mena, Francisco, et al.
Published: (2024)
SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data
by: Hirner, Dominik, et al.
Published: (2024)
by: Hirner, Dominik, et al.
Published: (2024)
Self-Supervised Quantization-Aware Knowledge Distillation
by: Zhao, Kaiqi, et al.
Published: (2024)
by: Zhao, Kaiqi, et al.
Published: (2024)
Matrix Information Theory for Self-Supervised Learning
by: Zhang, Yifan, et al.
Published: (2023)
by: Zhang, Yifan, et al.
Published: (2023)
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)
by: Liu, Yijie, et al.
Published: (2025)
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
by: Han, Boran, et al.
Published: (2024)
by: Han, Boran, et al.
Published: (2024)
Improving Generalization via Meta-Learning on Hard Samples
by: Jain, Nishant, et al.
Published: (2024)
by: Jain, Nishant, et al.
Published: (2024)
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)
by: Zhang, Xinxi, et al.
Published: (2024)
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
by: Singh, Azad, et al.
Published: (2024)
by: Singh, Azad, et al.
Published: (2024)
Self-Supervised Siamese Autoencoders
by: Baier, Friederike, et al.
Published: (2023)
by: Baier, Friederike, et al.
Published: (2023)
Variational Self-Supervised Learning
by: Yavuz, Mehmet Can, et al.
Published: (2025)
by: Yavuz, Mehmet Can, et al.
Published: (2025)
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
by: Abdelsamad, Mohamed, et al.
Published: (2025)
by: Abdelsamad, Mohamed, et al.
Published: (2025)
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)
by: Xu, Jie, et al.
Published: (2021)
OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis
by: Gorade, Vandan, et al.
Published: (2024)
by: Gorade, Vandan, et al.
Published: (2024)
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing
by: Lu, Kaixuan, et al.
Published: (2024)
by: Lu, Kaixuan, et al.
Published: (2024)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
Self-Supervised Visual Preference Alignment
by: Zhu, Ke, et al.
Published: (2024)
by: Zhu, Ke, et al.
Published: (2024)
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
by: Kaczmarek, Emily, et al.
Published: (2025)
by: Kaczmarek, Emily, et al.
Published: (2025)
Weak Augmentation Guided Relational Self-Supervised Learning
by: Zheng, Mingkai, et al.
Published: (2022)
by: Zheng, Mingkai, et al.
Published: (2022)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
Self-Supervised Learning by Curvature Alignment
by: Ghojogh, Benyamin, et al.
Published: (2025)
by: Ghojogh, Benyamin, et al.
Published: (2025)
RISE: Enhancing VLM Image Annotation with Self-Supervised Reasoning
by: Hu, Suhang, et al.
Published: (2025)
by: Hu, Suhang, et al.
Published: (2025)
Self-Supervised Spatial Correspondence Across Modalities
by: Shrivastava, Ayush, et al.
Published: (2025)
by: Shrivastava, Ayush, et al.
Published: (2025)
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)
by: Lowe, Scott C., et al.
Published: (2026)
SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection
by: Adethya, Gokul, et al.
Published: (2025)
by: Adethya, Gokul, et al.
Published: (2025)
Improving Accuracy and Efficiency of Implicit Neural Representations: Making SIREN a WINNER
by: Chandravamsi, Hemanth, et al.
Published: (2025)
by: Chandravamsi, Hemanth, et al.
Published: (2025)
PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
by: Lei, Yuanhang, et al.
Published: (2026)
by: Lei, Yuanhang, et al.
Published: (2026)
Self-Supervised Pretraining for Aerial Road Extraction
by: Polley, Rupert, et al.
Published: (2025)
by: Polley, Rupert, et al.
Published: (2025)
Similar Items
-
Self-Supervised Scalable Deep Compressed Sensing
by: Chen, Bin, et al.
Published: (2023) -
Modulate Your Spectrum in Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2023) -
Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike
by: Danda, Sravan, et al.
Published: (2026) -
Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023) -
SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing
by: Straka, Jakub, et al.
Published: (2025)