SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders
Fuente:
arXiv
Saved in:
| Main Authors: | Stępień, Jakub, Mazur, Marcin, Tabor, Jacek, Spurek, Przemysław |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
by: Byrski, Krzysztof, et al.
Published: (2025)
by: Byrski, Krzysztof, et al.
Published: (2025)
Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning
by: Krukowski, Patryk, et al.
Published: (2026)
by: Krukowski, Patryk, et al.
Published: (2026)
GeoGuide: Geometric guidance of diffusion models
by: Poleski, Mateusz, et al.
Published: (2024)
by: Poleski, Mateusz, et al.
Published: (2024)
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
by: Batorski, Paweł, et al.
Published: (2024)
by: Batorski, Paweł, et al.
Published: (2024)
RaySplats: Ray Tracing based Gaussian Splatting
by: Byrski, Krzysztof, et al.
Published: (2025)
by: Byrski, Krzysztof, et al.
Published: (2025)
Classifier-free Guidance with Adaptive Scaling
by: Malarz, Dawid, et al.
Published: (2025)
by: Malarz, Dawid, et al.
Published: (2025)
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
by: Zimny, Dominik, et al.
Published: (2023)
by: Zimny, Dominik, et al.
Published: (2023)
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
by: Trędowicz, Magdalena, et al.
Published: (2024)
by: Trędowicz, Magdalena, et al.
Published: (2024)
UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
by: Polowczyk, Agnieszka, et al.
Published: (2025)
by: Polowczyk, Agnieszka, et al.
Published: (2025)
Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
by: Stanishevskii, Georgii, et al.
Published: (2024)
by: Stanishevskii, Georgii, et al.
Published: (2024)
ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
by: Borycki, Piotr, et al.
Published: (2026)
by: Borycki, Piotr, et al.
Published: (2026)
GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting
by: Waczyńska, Joanna, et al.
Published: (2024)
by: Waczyńska, Joanna, et al.
Published: (2024)
Gaussian Splatting with NeRF-based Color and Opacity
by: Malarz, Dawid, et al.
Published: (2023)
by: Malarz, Dawid, et al.
Published: (2023)
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
by: Dubovik, Viktar, et al.
Published: (2025)
by: Dubovik, Viktar, et al.
Published: (2025)
Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models
by: Kubaty, Piotr, et al.
Published: (2026)
by: Kubaty, Piotr, et al.
Published: (2026)
Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)
by: Zaigrajew, Vladimir, et al.
Published: (2025)
Augmentation-aware Self-supervised Learning with Conditioned Projector
by: Przewięźlikowski, Marcin, et al.
Published: (2023)
by: Przewięźlikowski, Marcin, et al.
Published: (2023)
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN
by: Kania, Adam, et al.
Published: (2023)
by: Kania, Adam, et al.
Published: (2023)
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
by: Nerrise, Favour, et al.
Published: (2026)
by: Nerrise, Favour, et al.
Published: (2026)
DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models
by: Polowczyk, Alicja, et al.
Published: (2026)
by: Polowczyk, Alicja, et al.
Published: (2026)
EPIC: Explanation of Pretrained Image Classification Networks via Prototype
by: Borycki, Piotr, et al.
Published: (2025)
by: Borycki, Piotr, et al.
Published: (2025)
Bounding Evidence and Estimating Log-Likelihood in VAE
by: Struski, Łukasz, et al.
Published: (2022)
by: Struski, Łukasz, et al.
Published: (2022)
QuantumGS: Quantum Encoding Framework for Gaussian Splatting
by: Wilczyński, Grzegorz, et al.
Published: (2026)
by: Wilczyński, Grzegorz, et al.
Published: (2026)
Sparse Autoencoders are Topic Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models
by: Kolton, Ignacy, et al.
Published: (2026)
by: Kolton, Ignacy, et al.
Published: (2026)
GASP: Gaussian Splatting for Physic-Based Simulations
by: Borycki, Piotr, et al.
Published: (2024)
by: Borycki, Piotr, et al.
Published: (2024)
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
by: Spurek, Przemysław, et al.
Published: (2021)
by: Spurek, Przemysław, et al.
Published: (2021)
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
by: Howil, Kornel, et al.
Published: (2025)
by: Howil, Kornel, et al.
Published: (2025)
VisTabNet: Adapting Vision Transformers for Tabular Data
by: Wydmański, Witold, et al.
Published: (2024)
by: Wydmański, Witold, et al.
Published: (2024)
Interpretable and Steerable Concept Bottleneck Sparse Autoencoders
by: Kulkarni, Akshay, et al.
Published: (2025)
by: Kulkarni, Akshay, et al.
Published: (2025)
VeGaS: Video Gaussian Splatting
by: Smolak-Dyżewska, Weronika, et al.
Published: (2024)
by: Smolak-Dyżewska, Weronika, et al.
Published: (2024)
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
by: Ahishali, Mete, et al.
Published: (2022)
by: Ahishali, Mete, et al.
Published: (2022)
Sparse Autoencoders for Interpretable Medical Image Representation Learning
by: Wesp, Philipp, et al.
Published: (2026)
by: Wesp, Philipp, et al.
Published: (2026)
Probing the Representational Power of Sparse Autoencoders in Vision Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
by: Pach, Mateusz, et al.
Published: (2024)
by: Pach, Mateusz, et al.
Published: (2024)
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models
by: Dziarmaga, Tadeusz, et al.
Published: (2025)
by: Dziarmaga, Tadeusz, et al.
Published: (2025)
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
by: Thasarathan, Harrish, et al.
Published: (2025)
by: Thasarathan, Harrish, et al.
Published: (2025)
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
by: Tobiasz, Rafał, et al.
Published: (2025)
by: Tobiasz, Rafał, et al.
Published: (2025)
Similar Items
-
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
by: Byrski, Krzysztof, et al.
Published: (2025) -
Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning
by: Krukowski, Patryk, et al.
Published: (2026) -
GeoGuide: Geometric guidance of diffusion models
by: Poleski, Mateusz, et al.
Published: (2024) -
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
by: Batorski, Paweł, et al.
Published: (2024) -
RaySplats: Ray Tracing based Gaussian Splatting
by: Byrski, Krzysztof, et al.
Published: (2025)