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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
ArXivPDFHTML

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

50 / 238 papers shown
Title
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
48
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
CLIPLoss and Norm-Based Data Selection Methods for Multimodal
  Contrastive Learning
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Alex Fang
Wenjing Zhou
Kevin G. Jamieson
S. Du
36
7
0
29 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD
  Generalization and Open-Set OOD Detection
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu
Yifeng Yang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
VLM
34
2
0
26 May 2024
On the test-time zero-shot generalization of vision-language models: Do
  we really need prompt learning?
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Maxime Zanella
Ismail Ben Ayed
VLM
MLLM
56
23
0
03 May 2024
Embracing Diversity: Interpretable Zero-shot classification beyond one
  vector per class
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class
Mazda Moayeri
Michael G. Rabbat
Mark Ibrahim
Diane Bouchacourt
VLM
52
1
0
25 Apr 2024
SPARO: Selective Attention for Robust and Compositional Transformer
  Encodings for Vision
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision
Ankit Vani
Bac Nguyen
Samuel Lavoie
Ranjay Krishna
Aaron Courville
39
1
0
24 Apr 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
44
1
0
19 Apr 2024
RankCLIP: Ranking-Consistent Language-Image Pretraining
RankCLIP: Ranking-Consistent Language-Image Pretraining
Yiming Zhang
Zhuokai Zhao
Zhaorun Chen
Zhili Feng
Zenghui Ding
Yining Sun
SSL
VLM
51
7
0
15 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
36
11
0
13 Apr 2024
Test-Time Model Adaptation with Only Forward Passes
Test-Time Model Adaptation with Only Forward Passes
Shuaicheng Niu
Chunyan Miao
Guohao Chen
Pengcheng Wu
Peilin Zhao
TTA
43
19
0
02 Apr 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
30
5
0
19 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
29
7
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
AAML
ViT
39
1
0
15 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
42
35
0
05 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
46
1
0
01 Mar 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
49
5
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
46
1
0
07 Feb 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLM
CLIP
34
22
0
09 Jan 2024
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez
Sina Hajimiri
Ismail Ben Ayed
Jose Dolz
VLM
26
27
0
20 Dec 2023
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
16
0
0
08 Dec 2023
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
Zhuoran Yu
Chenchen Zhu
Sean Culatana
Raghuraman Krishnamoorthi
Fanyi Xiao
Yong Jae Lee
117
14
0
04 Dec 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
47
0
0
27 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for
  Hierarchical Understanding
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
57
10
0
23 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang
Xingjun Ma
Xin Wang
Lingyu Qiu
Jiaqi Wang
Yu-Gang Jiang
Jitao Sang
AAML
VPVLM
VLM
30
19
0
19 Nov 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
R. S. Srinivasa
Jaejin Cho
Chouchang Yang
Yashas Malur Saidutta
Ching Hua Lee
Yilin Shen
Hongxia Jin
VLM
36
8
0
26 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
37
14
0
15 Sep 2023
Gradient constrained sharpness-aware prompt learning for vision-language
  models
Gradient constrained sharpness-aware prompt learning for vision-language models
Liangchen Liu
Nannan Wang
Dawei Zhou
Xinbo Gao
Decheng Liu
Xi Yang
Tongliang Liu
VLM
33
2
0
14 Sep 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification
  with Cross-Modal Retrieval
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval
Seong-Hoon Eom
Namgyu Ho
Jaehoon Oh
Se-Young Yun
CLIP
VLM
38
0
0
29 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Baoshuo Kan
Teng Wang
Wenpeng Lu
Xiantong Zhen
Weili Guan
Feng Zheng
VPVLM
VLM
31
25
0
22 Aug 2023
Distributionally Robust Classification on a Data Budget
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
C. Hegde
OOD
37
2
0
07 Aug 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
38
18
0
24 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image Models
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
VLM
32
19
0
17 Jul 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
23
11
0
21 Jun 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Soravit Changpinyo
...
Mojtaba Seyedhosseini
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
VLM
68
189
0
29 May 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD
  Detection Using Text-image Models
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models
Yunhao Ge
Jie Jessie Ren
Jiaping Zhao
Kaifeng Chen
Andrew Gallagher
Laurent Itti
Balaji Lakshminarayanan
VLM
ObjD
26
1
0
26 May 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
40
6
0
25 May 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
26
18
0
20 Apr 2023
Towards Robust Prompts on Vision-Language Models
Towards Robust Prompts on Vision-Language Models
Jindong Gu
Ahmad Beirami
Xuezhi Wang
Alex Beutel
Philip Torr
Yao Qin
VLM
VPVLM
35
8
0
17 Apr 2023
RECLIP: Resource-efficient CLIP by Training with Small Images
RECLIP: Resource-efficient CLIP by Training with Small Images
Runze Li
Dahun Kim
B. Bhanu
Weicheng Kuo
VLM
CLIP
36
13
0
12 Apr 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary
  Visual Recognition
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren
Aston Zhang
Yi Zhu
Shuai Zhang
Shuai Zheng
Mu Li
Alexander J. Smola
Xu Sun
VPVLM
VLM
27
28
0
10 Apr 2023
On the Variance of Neural Network Training with respect to Test Sets and
  Distributions
On the Variance of Neural Network Training with respect to Test Sets and Distributions
Keller Jordan
OOD
24
11
0
04 Apr 2023
Black Box Few-Shot Adaptation for Vision-Language models
Black Box Few-Shot Adaptation for Vision-Language models
Yassine Ouali
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
VLM
31
31
0
04 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun
Pengchuan Zhang
Peizhao Zhang
Hardik Shah
Kate Saenko
Xide Xia
VLM
25
20
0
31 Mar 2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan-Sen Sun
Yuxin Fang
Ledell Yu Wu
Xinlong Wang
Yue Cao
CLIP
VLM
78
470
0
27 Mar 2023
FastViT: A Fast Hybrid Vision Transformer using Structural
  Reparameterization
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
ViT
37
154
0
24 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
44
0
0
24 Mar 2023
Top-Down Visual Attention from Analysis by Synthesis
Top-Down Visual Attention from Analysis by Synthesis
Baifeng Shi
Trevor Darrell
Xin Eric Wang
25
29
0
23 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
M. Keuper
AAML
31
9
0
22 Mar 2023
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