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2407.15913
Cited By

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot
Generalization of Vision-Language Models

Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models

22 July 2024

Raza Imam

Muhammad Huzaifa

Karthik Nandakumar

ArXiv (abs)PDF HTML Github (22★)

Papers citing "Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models"

9 / 9 papers shown

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis

T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis

Dwarikanath Mahapatra

327

0

0

31 Oct 2025

Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models

Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models

188

0

0

22 Oct 2025

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift

Dwarikanath Mahapatra

96

2

0

11 Sep 2025

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models

210

1

0

24 Aug 2025

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

Julia A. Schnabel

Daniel M. Lang

Julia A. Schnabel

150

0

0

11 Aug 2025

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

250

5

0

07 Aug 2025

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models

386

2

0

30 Jun 2025

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?Annual Conference on Medical Image Understanding and Analysis (MIUA), 2025

359

6

0

21 May 2025

Noise is an Efficient Learner for Zero-Shot Vision-Language Models

Noise is an Efficient Learner for Zero-Shot Vision-Language Models

Khaled Waleed Dawoud

Yova Kementchedjhieva

307

3

0

09 Feb 2025

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