Saved in:
| Main Authors: | Asad, Muhammad, Ullah, Ihsan, Sistu, Ganesh, Madden, Michael G. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.04456 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Depth Estimation using Weighted-loss and Transfer Learning
by: Hafeez, Muhammad Adeel, et al.
Published: (2024)
by: Hafeez, Muhammad Adeel, et al.
Published: (2024)
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023)
by: Asad, Muhammad Hamza, et al.
Published: (2023)
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
by: Wang, Ye, et al.
Published: (2024)
by: Wang, Ye, et al.
Published: (2024)
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
by: Kim, Gyuhak, et al.
Published: (2023)
by: Kim, Gyuhak, et al.
Published: (2023)
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
GRILL: Restoring Gradient Signal in Ill-Conditioned Layers for More Effective Adversarial Attacks on Autoencoders
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2025)
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2025)
Known Meets Unknown: Mitigating Overconfidence in Open Set Recognition
by: Zhao, Dongdong, et al.
Published: (2025)
by: Zhao, Dongdong, et al.
Published: (2025)
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
by: Uddin, Kutub, et al.
Published: (2025)
by: Uddin, Kutub, et al.
Published: (2025)
Autonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring
by: Hamza, Ameer, et al.
Published: (2025)
by: Hamza, Ameer, et al.
Published: (2025)
Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
by: Chatzoudis, Gerasimos, et al.
Published: (2025)
by: Chatzoudis, Gerasimos, et al.
Published: (2025)
KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning
by: Cherepanov, Egor, et al.
Published: (2026)
by: Cherepanov, Egor, et al.
Published: (2026)
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025)
by: Jalali, Mohammad, et al.
Published: (2025)
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification
by: Chiocchetti, Annalisa, et al.
Published: (2024)
by: Chiocchetti, Annalisa, et al.
Published: (2024)
FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
by: Karim, Mohammed Asad, et al.
Published: (2026)
by: Karim, Mohammed Asad, et al.
Published: (2026)
Improving the Diffusability of Autoencoders
by: Skorokhodov, Ivan, et al.
Published: (2025)
by: Skorokhodov, Ivan, et al.
Published: (2025)
VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
by: Chen, PengYu, et al.
Published: (2026)
by: Chen, PengYu, et al.
Published: (2026)
Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies
by: Graf, Olga, et al.
Published: (2026)
by: Graf, Olga, et al.
Published: (2026)
Kolmogorov-Arnold Network Autoencoders
by: Moradi, Mohammadamin, et al.
Published: (2024)
by: Moradi, Mohammadamin, et al.
Published: (2024)
WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge
by: Ramachandran, Saravanabalagi, et al.
Published: (2023)
by: Ramachandran, Saravanabalagi, et al.
Published: (2023)
Diffusion Autoencoders are Scalable Image Tokenizers
by: Chen, Yinbo, et al.
Published: (2025)
by: Chen, Yinbo, et al.
Published: (2025)
MeanFlow Transformers with Representation Autoencoders
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)
by: Zaigrajew, Vladimir, et al.
Published: (2025)
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
by: Galesso, Silvio, et al.
Published: (2024)
by: Galesso, Silvio, et al.
Published: (2024)
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
CL-MAE: Curriculum-Learned Masked Autoencoders
by: Madan, Neelu, et al.
Published: (2023)
by: Madan, Neelu, et al.
Published: (2023)
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets
by: Greer, Ross, et al.
Published: (2024)
by: Greer, Ross, et al.
Published: (2024)
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
by: Aali, Asad, et al.
Published: (2024)
by: Aali, Asad, et al.
Published: (2024)
Instant Adversarial Purification with Adversarial Consistency Distillation
by: Lei, Chun Tong, et al.
Published: (2024)
by: Lei, Chun Tong, et al.
Published: (2024)
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
by: Fang, Qingqing, et al.
Published: (2024)
by: Fang, Qingqing, et al.
Published: (2024)
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
by: Kraus, Oren, et al.
Published: (2024)
by: Kraus, Oren, et al.
Published: (2024)
Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
by: Yeung, Calvin, et al.
Published: (2026)
by: Yeung, Calvin, et al.
Published: (2026)
Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
by: Chang, Hun, et al.
Published: (2026)
by: Chang, Hun, et al.
Published: (2026)
Improved Baselines with Representation Autoencoders
by: Singh, Jaskirat, et al.
Published: (2026)
by: Singh, Jaskirat, et al.
Published: (2026)
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)
by: Pach, Mateusz, et al.
Published: (2025)
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
by: Zhang, Kevin, et al.
Published: (2022)
by: Zhang, Kevin, et al.
Published: (2022)
Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving
by: Theodoridis, Nikos, et al.
Published: (2026)
by: Theodoridis, Nikos, et al.
Published: (2026)
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
by: Li, Lin, et al.
Published: (2023)
by: Li, Lin, et al.
Published: (2023)
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
by: Surkov, Viacheslav, et al.
Published: (2024)
by: Surkov, Viacheslav, et al.
Published: (2024)
Adversarial Detection by Approximation of Ensemble Boundary
by: Windeatt, T.
Published: (2022)
by: Windeatt, T.
Published: (2022)
Conditional Unscented Autoencoders for Trajectory Prediction
by: Janjoš, Faris, et al.
Published: (2023)
by: Janjoš, Faris, et al.
Published: (2023)
Similar Items
-
Depth Estimation using Weighted-loss and Transfer Learning
by: Hafeez, Muhammad Adeel, et al.
Published: (2024) -
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023) -
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
by: Wang, Ye, et al.
Published: (2024) -
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
by: Kim, Gyuhak, et al.
Published: (2023) -
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
by: Wang, Hao, et al.
Published: (2026)