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Learning Robust Global Representations by Penalizing Local Predictive
  Power

Learning Robust Global Representations by Penalizing Local Predictive Power

29 May 2019
Haohan Wang
Songwei Ge
Eric P. Xing
Zachary Chase Lipton
    OOD
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Papers citing "Learning Robust Global Representations by Penalizing Local Predictive Power"

50 / 200 papers shown
Title
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via D\mathbf{\texttt{D}}Dual-H\mathbf{\texttt{H}}Head O\mathbf{\texttt{O}}Optimization
Seongjae Kang
Dong Bok Lee
Hyungjoon Jang
Sung Ju Hwang
VLM
57
0
0
12 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
38
0
0
07 May 2025
Enhancing Target-unspecific Tasks through a Features Matrix
Enhancing Target-unspecific Tasks through a Features Matrix
Fangming Cui
Yonggang Zhang
Xuan Wang
Xinmei Tian
Jun Yu
AAML
45
0
0
06 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
67
0
0
03 May 2025
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
Weicai Yan
Wang Lin
Zirun Guo
Ye Wang
Fangming Feng
Xiaoda Yang
Z. Wang
Tao Jin
DiffM
123
2
0
30 Apr 2025
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
Mainak Singha
Subhankar Roy
Sarthak Mehrotra
Ankit Jha
Moloud Abdar
Biplab Banerjee
Elisa Ricci
VLM
VPVLM
119
0
0
29 Apr 2025
Perception Encoder: The best visual embeddings are not at the output of the network
Perception Encoder: The best visual embeddings are not at the output of the network
Daniel Bolya
Po-Yao (Bernie) Huang
Peize Sun
Jang Hyun Cho
Andrea Madotto
...
Shiyu Dong
Nikhila Ravi
Daniel Li
Piotr Dollár
Christoph Feichtenhofer
ObjD
VOS
103
0
0
17 Apr 2025
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
Ans Munir
Faisal Z. Qureshi
M. H. Khan
Mohsen Ali
VLM
70
0
0
15 Mar 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models
MMRL: Multi-Modal Representation Learning for Vision-Language Models
Yuncheng Guo
Xiaodong Gu
VLM
OffRL
132
1
0
11 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Shunxin Wang
Raymond N. J. Veldhuis
N. Strisciuglio
VLM
71
0
0
05 Mar 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
153
0
0
03 Mar 2025
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Meng Lou
Yizhou Yu
115
1
0
27 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang
Keping Bi
Wei Chen
J. Guo
Xueqi Cheng
BDL
VLM
52
1
0
25 Feb 2025
Vision-LSTM: xLSTM as Generic Vision Backbone
Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin
M. Beck
Korbinian Poppel
Sepp Hochreiter
Johannes Brandstetter
VLM
61
43
0
24 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Benedikt Alkin
Lukas Miklautz
Sepp Hochreiter
Johannes Brandstetter
VLM
71
8
0
24 Feb 2025
Noise is an Efficient Learner for Zero-Shot Vision-Language Models
Raza Imam
Asif Hanif
Jian Zhang
Khaled Waleed Dawoud
Yova Kementchedjhieva
Mohammad Yaqub
VLM
55
0
0
09 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Minh-Quan Le
Gaurav Mittal
Tianjian Meng
A S M Iftekhar
Vishwas Suryanarayanan
Barun Patra
Dimitris Samaras
Mei Chen
DiffM
62
0
0
07 Feb 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin
Ying Li
Mingyu Zhao
Shiyu Zhao
Z. Wang
Xiaoxiao He
Ligong Han
Tong Che
Dimitris N. Metaxas
VPVLM
VLM
120
1
0
02 Feb 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
Vision-Language Model Selection and Reuse for Downstream Adaptation
Hao-Zhe Tan
Zhi-Hua Zhou
Lan-Zhe Guo
Yu-Feng Li
VLM
91
0
0
30 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Behraj Khan
T. Syed
131
1
0
29 Jan 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
48
0
0
28 Jan 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
J. Vankerschaver
50
0
0
28 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
63
0
0
31 Dec 2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang
Shuo He
Bingquan Shen
Lei Feng
Lei Feng
AAML
55
0
0
29 Dec 2024
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
Chu Myaet Thwal
Ye Lin Tun
Minh N. H. Nguyen
Eui-nam Huh
Choong Seon Hong
VLM
74
0
0
05 Dec 2024
Adversarial Prompt Distillation for Vision-Language Models
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Xingjun Ma
Yu-Gang Jiang
AAML
VLM
79
1
0
22 Nov 2024
Probabilistic Language-Image Pre-Training
Probabilistic Language-Image Pre-Training
Sanghyuk Chun
Wonjae Kim
Song Park
Sangdoo Yun
MLLM
VLM
CLIP
123
4
2
24 Oct 2024
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
Kun Ding
Qiang Yu
Haojian Zhang
Gaofeng Meng
Shiming Xiang
VLM
30
0
0
11 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
30
0
0
11 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza
Mengjie Zhao
Zhuoyuan Mao
Sivan Doveh
Wei Lin
...
Yuki Mitsufuji
Horst Possegger
Rogerio Feris
Leonid Karlinsky
James Glass
VLM
84
1
0
08 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
116
0
0
03 Oct 2024
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Jintao Zhang
Jia wei
Pengle Zhang
Jun-Jie Zhu
Jun Zhu
Jianfei Chen
VLM
MQ
82
18
0
03 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
143
2
0
25 Sep 2024
Revisiting Prompt Pretraining of Vision-Language Models
Revisiting Prompt Pretraining of Vision-Language Models
Zhenyuan Chen
Lingfeng Yang
Shuo Chen
Zhaowei Chen
Jiajun Liang
Xiang Li
MLLM
VPVLM
VLM
43
1
0
10 Sep 2024
Optimizing CLIP Models for Image Retrieval with Maintained
  Joint-Embedding Alignment
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
VLM
36
3
0
03 Sep 2024
Training-Free Sketch-Guided Diffusion with Latent Optimization
Training-Free Sketch-Guided Diffusion with Latent Optimization
Sandra Zhang Ding
Jiafeng Mao
Kiyoharu Aizawa
DiffM
96
2
0
31 Aug 2024
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language
  Model
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model
Xinyang Wang
Yi Yang
Minfeng Zhu
Kecheng Zheng
Shi Liu
Wei Chen
VPVLM
MLLM
VLM
47
1
0
19 Aug 2024
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive
  Language-Image Pre-traning Model
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
Yifan Chen
Xiaozhen Qiao
Zhe Sun
Xuelong Li
VLM
39
3
0
08 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
Advancing Prompt Learning through an External Layer
Advancing Prompt Learning through an External Layer
Fangming Cui
Xun Yang
Chao Wu
Liang Xiao
Xinmei Tian
VLM
38
1
0
29 Jul 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
Hao Ding
Tuxun Lu
Yuqian Zhang
Ruixing Liang
Hongchao Shu
...
Bo Wang
Marcos Fernández-Rodríguez
Estevao Lima
João L. Vilaça
Mathias Unberath
60
4
0
16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
36
3
0
15 Jul 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting,
  and Transportation
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
39
7
0
05 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
54
3
0
03 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
39
8
0
01 Jul 2024
Improving robustness to corruptions with multiplicative weight
  perturbations
Improving robustness to corruptions with multiplicative weight perturbations
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
41
0
0
24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
40
0
0
14 Jun 2024
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
40
5
0
06 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
77
3
0
05 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with
  Self-Supervised Encoders
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
46
3
0
04 Jun 2024
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