Variational Bayesian Last Layers
Fuente:
arXiv
Saved in:
| Main Authors: | Harrison, James, Willes, John, Snoek, Jasper |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)
by: Brunzema, Paul, et al.
Published: (2024)
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023)
by: Le, Phuong Quynh, et al.
Published: (2023)
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
by: Qian, Qi, et al.
Published: (2024)
by: Qian, Qi, et al.
Published: (2024)
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
by: Welfert, Monica, et al.
Published: (2024)
by: Welfert, Monica, et al.
Published: (2024)
IPO: Interpretable Prompt Optimization for Vision-Language Models
by: Du, Yingjun, et al.
Published: (2024)
by: Du, Yingjun, et al.
Published: (2024)
Union-over-Intersections: Object Detection beyond Winner-Takes-All
by: Bhowmik, Aritra, et al.
Published: (2023)
by: Bhowmik, Aritra, et al.
Published: (2023)
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
by: Frati, Lapo, et al.
Published: (2023)
by: Frati, Lapo, et al.
Published: (2023)
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
by: Sun, Wenfang, et al.
Published: (2024)
by: Sun, Wenfang, et al.
Published: (2024)
MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
by: Fei, Wen, et al.
Published: (2020)
by: Fei, Wen, et al.
Published: (2020)
Prompt Diffusion Robustifies Any-Modality Prompt Learning
by: Du, Yingjun, et al.
Published: (2024)
by: Du, Yingjun, et al.
Published: (2024)
Your Image is Secretly the Last Frame of a Pseudo Video
by: Chen, Wenlong, et al.
Published: (2024)
by: Chen, Wenlong, et al.
Published: (2024)
Missing Fine Details in Images: Last Seen in High Frequencies
by: Medi, Tejaswini, et al.
Published: (2025)
by: Medi, Tejaswini, et al.
Published: (2025)
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
by: Nguyen, Duy-Kien, et al.
Published: (2024)
by: Nguyen, Duy-Kien, et al.
Published: (2024)
Deep Variational Bayesian Modeling of Haze Degradation Process
by: Im, Eun Woo, et al.
Published: (2024)
by: Im, Eun Woo, et al.
Published: (2024)
Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)
by: Yin, Wenzhe, et al.
Published: (2025)
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
by: Morales-Brotons, Daniel, et al.
Published: (2024)
by: Morales-Brotons, Daniel, et al.
Published: (2024)
LayerSync: Self-aligning Intermediate Layers
by: Haghighi, Yasaman, et al.
Published: (2025)
by: Haghighi, Yasaman, et al.
Published: (2025)
LastAct: Trajectory-Guided Latest-Activity Localization for Real-Time Smart-Home Activity Recognition
by: Liu, Zishuai, et al.
Published: (2026)
by: Liu, Zishuai, et al.
Published: (2026)
Multivariate Variational Autoencoder
by: Yavuz, Mehmet Can
Published: (2025)
by: Yavuz, Mehmet Can
Published: (2025)
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
by: Harrison, Josie, et al.
Published: (2024)
by: Harrison, Josie, et al.
Published: (2024)
Branched Variational Autoencoder Classifiers
by: Salah, Ahmed, et al.
Published: (2024)
by: Salah, Ahmed, et al.
Published: (2024)
Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)
Variational Supervised Contrastive Learning
by: Wang, Ziwen, et al.
Published: (2025)
by: Wang, Ziwen, et al.
Published: (2025)
Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)
by: Guo, Pengsheng, et al.
Published: (2025)
Variational Self-Supervised Learning
by: Yavuz, Mehmet Can, et al.
Published: (2025)
by: Yavuz, Mehmet Can, et al.
Published: (2025)
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations
by: Yu, Yunkai, et al.
Published: (2021)
by: Yu, Yunkai, et al.
Published: (2021)
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
by: Kim, Jinuk, et al.
Published: (2024)
by: Kim, Jinuk, et al.
Published: (2024)
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
by: Wang, Fei, et al.
Published: (2025)
by: Wang, Fei, et al.
Published: (2025)
Disentanglement with Factor Quantized Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2024)
by: Baykal, Gulcin, et al.
Published: (2024)
Variational Autoencoding of Dental Point Clouds
by: Ye, Johan Ziruo, et al.
Published: (2023)
by: Ye, Johan Ziruo, et al.
Published: (2023)
Variational Garrote for Sparse Inverse Problems
by: Lee, Kanghun, et al.
Published: (2026)
by: Lee, Kanghun, et al.
Published: (2026)
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
by: Rastegar, Sarah, et al.
Published: (2024)
by: Rastegar, Sarah, et al.
Published: (2024)
Bayesian Lottery Ticket Hypothesis
by: Kuhn, Nicholas, et al.
Published: (2026)
by: Kuhn, Nicholas, et al.
Published: (2026)
Data-Driven Hierarchical Open Set Recognition
by: Hannum, Andrew, et al.
Published: (2024)
by: Hannum, Andrew, et al.
Published: (2024)
HAMMR: HierArchical MultiModal React agents for generic VQA
by: Castrejon, Lluis, et al.
Published: (2024)
by: Castrejon, Lluis, et al.
Published: (2024)
Variational Trajectory Optimization of Anisotropic Diffusion Schedules
by: Liu, Pengxi, et al.
Published: (2026)
by: Liu, Pengxi, et al.
Published: (2026)
Variational Bayes image restoration with compressive autoencoders
by: Biquard, Maud, et al.
Published: (2023)
by: Biquard, Maud, et al.
Published: (2023)
Variation-Bounded Loss for Noise-Tolerant Learning
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Similar Items
-
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024) -
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
by: Le, Phuong Quynh, et al.
Published: (2023) -
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
by: Qian, Qi, et al.
Published: (2024) -
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
by: Welfert, Monica, et al.
Published: (2024) -
IPO: Interpretable Prompt Optimization for Vision-Language Models
by: Du, Yingjun, et al.
Published: (2024)