Alert button
Picture for Yingzhen Li

Yingzhen Li

Alert button

C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

Add code
Bookmark button
Alert button
Mar 31, 2024
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo

Figure 1 for C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Figure 2 for C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Figure 3 for C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Figure 4 for C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Viaarxiv icon

On the Challenges and Opportunities in Generative AI

Add code
Bookmark button
Alert button
Feb 28, 2024
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

Viaarxiv icon

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Add code
Bookmark button
Alert button
Feb 06, 2024
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jose Miguel Hernandez Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

Viaarxiv icon

Training Discrete Energy-Based Models with Energy Discrepancy

Add code
Bookmark button
Alert button
Jul 14, 2023
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan

Figure 1 for Training Discrete Energy-Based Models with Energy Discrepancy
Figure 2 for Training Discrete Energy-Based Models with Energy Discrepancy
Figure 3 for Training Discrete Energy-Based Models with Energy Discrepancy
Figure 4 for Training Discrete Energy-Based Models with Energy Discrepancy
Viaarxiv icon

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models

Add code
Bookmark button
Alert button
Jul 12, 2023
Tobias Schröder, Zijing Ou, Jen Ning Lim, Yingzhen Li, Sebastian J. Vollmer, Andrew B. Duncan

Figure 1 for Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Figure 2 for Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Figure 3 for Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Figure 4 for Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Viaarxiv icon

On the Identifiability of Markov Switching Models

Add code
Bookmark button
Alert button
May 26, 2023
Carles Balsells-Rodas, Yixin Wang, Yingzhen Li

Figure 1 for On the Identifiability of Markov Switching Models
Figure 2 for On the Identifiability of Markov Switching Models
Figure 3 for On the Identifiability of Markov Switching Models
Figure 4 for On the Identifiability of Markov Switching Models
Viaarxiv icon

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure

Add code
Bookmark button
Alert button
Mar 04, 2023
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo

Figure 1 for ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Figure 2 for ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Figure 3 for ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Figure 4 for ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Viaarxiv icon

Calibrating Transformers via Sparse Gaussian Processes

Add code
Bookmark button
Alert button
Mar 04, 2023
Wenlong Chen, Yingzhen Li

Figure 1 for Calibrating Transformers via Sparse Gaussian Processes
Figure 2 for Calibrating Transformers via Sparse Gaussian Processes
Figure 3 for Calibrating Transformers via Sparse Gaussian Processes
Figure 4 for Calibrating Transformers via Sparse Gaussian Processes
Viaarxiv icon

Scalable Infomin Learning

Add code
Bookmark button
Alert button
Feb 21, 2023
Yanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller

Figure 1 for Scalable Infomin Learning
Figure 2 for Scalable Infomin Learning
Figure 3 for Scalable Infomin Learning
Figure 4 for Scalable Infomin Learning
Viaarxiv icon

Markovian Gaussian Process Variational Autoencoders

Add code
Bookmark button
Alert button
Jul 12, 2022
Harrison Zhu, Carles Balsells Rodas, Yingzhen Li

Figure 1 for Markovian Gaussian Process Variational Autoencoders
Viaarxiv icon