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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 / 820 papers shown
Open-Vocabulary Object Detectors: Robustness Challenges under
  Distribution Shifts
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
Prakash Chandra Chhipa
Kanjar De
Meenakshi Subhash Chippa
Rajkumar Saini
Marcus Liwicki
ObjDVLM
273
4
0
01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
177
12
0
01 Apr 2024
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLMVPVLM
320
40
0
01 Apr 2024
Weak Distribution Detectors Lead to Stronger Generalizability of
  Vision-Language Prompt Tuning
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
Kun Ding
Haojian Zhang
Qiang Yu
Ying Wang
Shiming Xiang
Chunhong Pan
OODDVLM
115
7
0
31 Mar 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation
GDA: Generalized Diffusion for Robust Test-time Adaptation
Yun-Yun Tsai
Fu-Chen Chen
Albert Y. C. Chen
Junfeng Yang
Che-Chun Su
Min Sun
Cheng-Hao Kuo
TTAAAMLVLMOOD
286
13
0
29 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language
  Models
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Yifan Zhang
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
300
60
0
29 Mar 2024
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
Donghyun Kim
Byeongho Heo
Dongyoon Han
282
42
0
28 Mar 2024
Model Stock: All we need is just a few fine-tuned models
Model Stock: All we need is just a few fine-tuned models
Dong-Hwan Jang
Sangdoo Yun
Dongyoon Han
OODDMoMe
416
73
0
28 Mar 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion
  Synthetic Object
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang
Fei Pan
Junmo Kim
In So Kweon
Chengzhi Mao
177
16
1
27 Mar 2024
Efficient Test-Time Adaptation of Vision-Language Models
Efficient Test-Time Adaptation of Vision-Language Models
Adilbek Karmanov
Dayan Guan
Shijian Lu
Abdulmotaleb El Saddik
Eric Xing
TTAVLM
277
110
0
27 Mar 2024
Dual Memory Networks: A Versatile Adaptation Approach for
  Vision-Language Models
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
Yabin Zhang
Wen-Qing Zhu
Hui Tang
Zhiyuan Ma
Kaiyang Zhou
Lei Zhang
VLM
247
51
0
26 Mar 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via
  Text Feature Dispersion
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Hee Suk Yoon
Eunseop Yoon
Joshua Tian Jin Tee
M. Hasegawa-Johnson
Yingzhen Li
C. Yoo
VLM
433
63
0
21 Mar 2024
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization
  with Vision-Language Models
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Elaine Sui
Xiaohan Wang
Serena Yeung-Levy
VLM
278
21
0
19 Mar 2024
Non-negative Contrastive Learning
Non-negative Contrastive Learning
Yifei Wang
Tao Gui
Yaoyu Guo
Yisen Wang
339
14
0
19 Mar 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data
  Quality over Quantity
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over QuantityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Siddharth Joshi
Arnav Jain
Ali Payani
Baharan Mirzasoleiman
VLMCLIP
253
16
0
18 Mar 2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsEuropean Conference on Computer Vision (ECCV), 2024
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Sivan Doveh
Jakub Micorek
Mateusz Koziñski
Hilde Kuhene
Horst Possegger
VLMMLLM
306
30
0
18 Mar 2024
Compositional Kronecker Context Optimization for Vision-Language Models
Compositional Kronecker Context Optimization for Vision-Language Models
Kun Ding
Xiaohui Li
Qiang Yu
Ying Wang
Haojian Zhang
Shiming Xiang
VLM
223
1
0
18 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data
  in Text-Image Encoders
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng
Pin-Yu Chen
OODD
284
1
0
16 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A
  Pilot Study
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Chenguang Wang
Ruoxi Jia
Xin Liu
Dawn Song
VLM
213
10
0
15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAMLViT
375
1
0
15 Mar 2024
Unified Source-Free Domain Adaptation
Unified Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
435
7
0
12 Mar 2024
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
Yuncheng Yang
Chuyan Zhang
Zuopeng Yang
Yuting Gao
Yulei Qin
Ke Li
Xing Sun
Jie Yang
Yun Gu
VLMVPVLM
325
0
0
10 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen
  Vision-language Model
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
Junhui Yin
Xinyu Zhang
Lin Wu
Xianghua Xie
Xiaojie Wang
VPVLMVLMMLLM
141
3
0
10 Mar 2024
ComFe: An Interpretable Head for Vision Transformers
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix
H. Bondell
Howard Bondell
VLMViT
499
0
0
07 Mar 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li
Xiang Li
Xinyi Fu
Xing Zhang
Weiqiang Wang
Shuo Chen
Jian Yang
VLM
364
84
0
05 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for
  Pre-trained Vision-Language Models
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
Lin Li
Haoyan Guan
Jianing Qiu
Michael W. Spratling
AAMLVLMVPVLM
284
44
0
04 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang
Mohammad Abdi
Shahriar Rifat
Francesco Restuccia
AAML
282
3
0
01 Mar 2024
Multi-modal Attribute Prompting for Vision-Language Models
Multi-modal Attribute Prompting for Vision-Language Models
Xin Liu
Jiamin Wu
and Wenfei Yang
Xu Zhou
Tianzhu Zhang
VLM
409
26
0
01 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
397
9
0
01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You
Ask Your Distribution Shift if Pre-Training is Right for You
Benjamin Cohen-Wang
Joshua Vendrow
Aleksander Madry
OOD
334
5
0
29 Feb 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid
  Progress
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Christian Schroeder de Witt
Vishaal Udandarao
Juil Sock
Matthias Bethge
Adel Bibi
Samuel Albanie
242
3
0
29 Feb 2024
Prompt-Driven Dynamic Object-Centric Learning for Single Domain
  Generalization
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
Deng Li
Aming Wu
Yaowei Wang
Yahong Han
OODVLM
352
26
0
28 Feb 2024
Vision Transformers with Natural Language Semantics
Vision Transformers with Natural Language Semantics
Young-Kyung Kim
Matías Di Martino
Guillermo Sapiro
ViT
155
7
0
27 Feb 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings
  for Robust Large Vision-Language Models
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann
Naman D. Singh
Francesco Croce
Matthias Hein
VLMAAML
390
86
0
19 Feb 2024
Learning Conditional Invariances through Non-Commutativity
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri
Serban Georgescu
Anjan Dutta
214
1
0
18 Feb 2024
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
OODVPVLMVLM
355
20
0
15 Feb 2024
An Empirical Study Into What Matters for Calibrating Vision-Language
  Models
An Empirical Study Into What Matters for Calibrating Vision-Language ModelsInternational Conference on Machine Learning (ICML), 2024
Weijie Tu
Weijian Deng
Dylan Campbell
Stephen Gould
Tom Gedeon
VLM
278
15
0
12 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
UQCVVLM
215
52
0
12 Feb 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu
Zhen Zhang
Dong Gong
Erdun Gao
Biwei Huang
Anton Van Den Hengel
Kun Zhang
Javen Qinfeng Shi
Javen Qinfeng Shi
288
7
0
09 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
430
4
0
07 Feb 2024
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Quan-Sen Sun
Jinsheng Wang
Qiying Yu
Yufeng Cui
Fan Zhang
Xiaosong Zhang
Xinlong Wang
VLMCLIPMLLM
324
81
0
06 Feb 2024
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang
Jian Liang
Lijun Sheng
Xiao-Yu Zhang
Zilei Wang
Tieniu Tan
VLM
253
40
0
06 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
410
1
0
06 Feb 2024
Image-Caption Encoding for Improving Zero-Shot Generalization
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yang Yu
Christopher Liao
Sathvik Ravi
Theodoros Tsiligkaridis
Brian Kulis
OODDVLM
151
4
0
05 Feb 2024
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection
  Method for Multimodal Contrastive Learning
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Kevin Jamieson
S. Du
263
7
0
03 Feb 2024
The Neglected Tails in Vision-Language Models
The Neglected Tails in Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Shubham Parashar
Zhiqiu Lin
Tian Liu
Xiangjue Dong
Yanan Li
Deva Ramanan
James Caverlee
Shu Kong
VLM
486
60
0
23 Jan 2024
Supervised Fine-tuning in turn Improves Visual Foundation Models
Supervised Fine-tuning in turn Improves Visual Foundation Models
Xiaohu Jiang
Yixiao Ge
Yuying Ge
Dachuan Shi
Chun Yuan
Ying Shan
VLMCLIP
256
14
0
18 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
324
1
0
18 Jan 2024
Improving fine-grained understanding in image-text pre-training
Improving fine-grained understanding in image-text pre-training
Ioana Bica
Anastasija Ilić
Matthias Bauer
Goker Erdogan
Matko Bovsnjak
...
A. Gritsenko
Matthias Minderer
Charles Blundell
Razvan Pascanu
Jovana Mitrović
VLM
222
45
0
18 Jan 2024
Concept-Guided Prompt Learning for Generalization in Vision-Language
  Models
Concept-Guided Prompt Learning for Generalization in Vision-Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Yi Zhang
Ce Zhang
Ke Yu
Yushun Tang
Zhihai He
VLMMLLM
283
33
0
15 Jan 2024
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