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Learning Robust Global Representations by Penalizing Local Predictive
  Power
v1v2 (latest)

Learning Robust Global Representations by Penalizing Local Predictive Power

Neural Information Processing Systems (NeurIPS), 2019
29 May 2019
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Robust Global Representations by Penalizing Local Predictive Power"

50 / 817 papers shown
Title
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Junghwan Park
Woojin Cho
J. Heo
Darongsae Kwon
Kookjin Lee
20
0
0
02 Dec 2025
Generalizing Vision-Language Models with Dedicated Prompt Guidance
Generalizing Vision-Language Models with Dedicated Prompt Guidance
Xinyao Li
Yinjie Min
H. G. Chen
Zhekai Du
Fengling Li
Jingjing Li
VLM
144
0
0
02 Dec 2025
Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models
Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models
Z. Wang
Jie M. Zhang
Shiguang Shan
Xilin Chen
AAML
272
0
0
29 Nov 2025
PowerCLIP: Powerset Alignment for Contrastive Pre-Training
PowerCLIP: Powerset Alignment for Contrastive Pre-Training
Masaki Kawamura
Nakamasa Inoue
Rintaro Yanagi
Hirokatsu Kataoka
Rio Yokota
CLIPVLM
105
0
0
28 Nov 2025
From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts
From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts
Weiran Li
Yeqiang Liu
Yijie Wei
Mina Han
Xin Liu
Zhenbo Li
DiffMVLM
56
0
0
28 Nov 2025
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
Silin Cheng
Kai Han
MLLMVPVLMVLM
206
0
0
27 Nov 2025
AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
Zheng Li
Yibing Song
Xin Zhang
L. Luo
Xiang Li
J. Yang
136
0
0
26 Nov 2025
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
Shawn Young
Xingyu Zeng
Lijian Xu
VLM
76
0
0
24 Nov 2025
SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation
SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation
Md Akil Raihan Iftee
M. S. Hossain
Rakibul Hasan Rajib
Tariq Iqbal
Md. Mofijul Islam
M. A. Amin
Amin Ahsan Ali
A. Rahman
TTA
160
0
0
23 Nov 2025
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
Timing Yang
Guoyizhe Wei
Alan Yuille
Feng Wang
Mamba
113
0
0
23 Nov 2025
ReBaPL: Repulsive Bayesian Prompt Learning
ReBaPL: Repulsive Bayesian Prompt Learning
Yassir Bendou
Omar Ezzahir
Eduardo Fernandes Montesuma
Gabriel Mahuas
Victoria Shevchenko
Mike Gartrell
OffRL
221
0
0
21 Nov 2025
SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
Adeel Yousaf
Joseph Fioresi
James Beetham
Amrit Singh Bedi
Mubarak Shah
VLM
132
0
0
20 Nov 2025
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
Hyeongheon Cha
Dong Min Kim
Hye Won Chung
Taesik Gong
Sung-Ju Lee
TTAVLM
245
0
0
19 Nov 2025
Did Models Sufficient Learn? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation
Did Models Sufficient Learn? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation
Yannan Chen
Ruoyu Chen
Bin Zeng
Wei Wang
Shiming Liu
Qunli Zhang
Zheng Hu
L. Wang
Y. Wang
Xiaochun Cao
96
0
0
15 Nov 2025
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
Xiyuan Wei
Chih-Jen Lin
Tianbao Yang
VLM
112
0
0
11 Nov 2025
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
Nikolas Adaloglou
Diana Petrusheva
Mohamed Asker
Félix D. P. Michels
M. Kollmann
OODD
124
0
0
10 Nov 2025
Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
Decoupling Augmentation Bias in Prompt Learning for Vision-Language ModelsPattern Recognition (Pattern Recogn.), 2025
Gahyeon Kim
Sohee Kim
Seokju Lee
VLM
176
0
0
05 Nov 2025
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
Wenyuan Yang
Yichen Sun
Changzheng Chen
Zhixuan Chu
Jiaheng Zhang
Yiming Li
Dacheng Tao
AAML
92
0
0
05 Nov 2025
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Liwei Luo
Shuaitengyuan Li
Dongwei Ren
Qilong Wang
Q. Hu
Qinghua Hu
120
0
0
05 Nov 2025
Decoupled Entropy Minimization
Decoupled Entropy Minimization
Jing Ma
Hanlin Li
Xiang Xiang
104
0
0
05 Nov 2025
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Hossein Abdi
Mingfei Sun
Wei Pan
VLM
205
0
0
03 Nov 2025
A Retrospect to Multi-prompt Learning across Vision and Language
A Retrospect to Multi-prompt Learning across Vision and LanguageIEEE International Conference on Computer Vision (ICCV), 2023
Ziliang Chen
Xin Huang
Quanlong Guan
Liang Lin
Weiqi Luo
VPVLMVLM
361
10
0
31 Oct 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
Han Yu
Kehan Li
Dongbai Li
Yue He
Xingxuan Zhang
Peng Cui
OODD
338
2
0
31 Oct 2025
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi
Hyesu Lim
Steffen Schneider
Jaegul Choo
132
0
0
30 Oct 2025
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Shihab Aaqil Ahamed
Udaya S.K.P. Miriya Thanthrige
Ranga Rodrigo
Muhammad Haris Khan
VLM
170
0
0
30 Oct 2025
Enhancing CLIP Robustness via Cross-Modality Alignment
Enhancing CLIP Robustness via Cross-Modality Alignment
Xingyu Zhu
B. Zhu
Shuo Wang
Kesen Zhao
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VLM
251
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0
28 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
248
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0
23 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
Xiaozhen Qiao
Jingkai Zhao
Yuqiu Jiang
Xianda Guo
Zhe Sun
Hongyuan Zhang
Xuelong Li
VLM
146
0
0
22 Oct 2025
ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
Xiaoxing Hu
Kaicheng Yang
Ziyang Gong
Qi Ming
Zonghao Guo
Xiang An
Ziyong Feng
Junchi Yan
Xue Yang
CLIPVLM
195
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21 Oct 2025
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
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David I. Inouye
Jing Gao
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Universal Adaptive Environment Discovery
Universal Adaptive Environment Discovery
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Ba-Hien Tran
Maurizio Filippone
OODOffRL
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MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
Prasanna Mayilvahanan
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OffRLAIMatReLMLRM
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Efficient Edge Test-Time Adaptation via Latent Feature Coordinate Correction
Efficient Edge Test-Time Adaptation via Latent Feature Coordinate Correction
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D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models
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154
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Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
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Xiaohui Tao
Yan Li
Zi Huang
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Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
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POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
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TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
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