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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
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution ShiftsIEEE International Conference on Computer Vision (ICCV), 2023
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjDOOD
246
31
0
24 Jul 2023
On the Connection between Pre-training Data Diversity and Fine-tuning
  Robustness
On the Connection between Pre-training Data Diversity and Fine-tuning RobustnessNeural Information Processing Systems (NeurIPS), 2023
Vivek Ramanujan
Thao Nguyen
Sewoong Oh
Ludwig Schmidt
Ali Farhadi
OOD
209
33
0
24 Jul 2023
RepViT: Revisiting Mobile CNN From ViT Perspective
RepViT: Revisiting Mobile CNN From ViT PerspectiveComputer Vision and Pattern Recognition (CVPR), 2023
Ao Wang
Hui Chen
Zijia Lin
Hengjun Pu
Guiguang Ding
484
454
0
18 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image ModelsInternational Journal of Computer Vision (IJCV), 2023
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
VLM
439
23
0
17 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty
  Calibration in Domain Adaptation
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
176
0
0
14 Jul 2023
Self-regulating Prompts: Foundational Model Adaptation without
  Forgetting
Self-regulating Prompts: Foundational Model Adaptation without ForgettingIEEE International Conference on Computer Vision (ICCV), 2023
Muhammad Uzair Khattak
Syed Talal Wasim
Muzammal Naseer
Salman Khan
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
391
314
0
13 Jul 2023
Text Descriptions are Compressive and Invariant Representations for
  Visual Learning
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
214
7
0
10 Jul 2023
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Aditya Sanghi
P. Jayaraman
Arianna Rampini
Joseph Lambourne
Hooman Shayani
Evan Atherton
Saeid Asgari Taghanaki
3DV
261
18
0
08 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature
  Learning
T-MARS: Improving Visual Representations by Circumventing Text Feature LearningInternational Conference on Learning Representations (ICLR), 2023
Pratyush Maini
Sachin Goyal
Zachary Chase Lipton
J. Zico Kolter
Aditi Raghunathan
VLM
179
41
0
06 Jul 2023
Navigating Noise: A Study of How Noise Influences Generalisation and
  Calibration of Neural Networks
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks
Martin Ferianc
Ondrej Bohdal
Timothy M. Hospedales
Miguel R. D. Rodrigues
371
8
0
30 Jun 2023
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy
  within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \10,000 Budget; An Extra \4,000 Unlocks 81.8% Accuracy
Xianhang Li
Zeyu Wang
Cihang Xie
CLIPVLM
284
25
0
27 Jun 2023
Identifying and Disentangling Spurious Features in Pretrained Image
  Representations
Identifying and Disentangling Spurious Features in Pretrained Image Representations
R. Darbinyan
Hrayr Harutyunyan
Aram H. Markosyan
Hrant Khachatrian
175
4
0
22 Jun 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 BenchmarkingJournal of remote sensing (JRS), 2023
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
375
14
0
21 Jun 2023
Neural Priming for Sample-Efficient Adaptation
Neural Priming for Sample-Efficient AdaptationNeural Information Processing Systems (NeurIPS), 2023
Matthew Wallingford
Vivek Ramanujan
Alex Fang
Aditya Kusupati
Roozbeh Mottaghi
Aniruddha Kembhavi
Ludwig Schmidt
Ali Farhadi
VLM
487
19
0
16 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
187
28
0
14 Jun 2023
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Arnav Chavan
Zhuang Liu
D. K. Gupta
Eric P. Xing
Zhiqiang Shen
320
110
0
13 Jun 2023
Waffling around for Performance: Visual Classification with Random Words
  and Broad Concepts
Waffling around for Performance: Visual Classification with Random Words and Broad ConceptsIEEE International Conference on Computer Vision (ICCV), 2023
Karsten Roth
Jae Myung Kim
A. Sophia Koepke
Oriol Vinyals
Cordelia Schmid
Zeynep Akata
VLM
252
111
0
12 Jun 2023
ADDP: Learning General Representations for Image Recognition and
  Generation with Alternating Denoising Diffusion Process
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessInternational Conference on Learning Representations (ICLR), 2023
Changyao Tian
Chenxin Tao
Jifeng Dai
Hao Li
Ziheng Li
Lewei Lu
Xiaogang Wang
Jiaming Song
Gao Huang
Xizhou Zhu
DiffM
196
16
0
08 Jun 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable
  Models
Understanding Masked Autoencoders via Hierarchical Latent Variable ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Lingjing Kong
Martin Q. Ma
Guan-Hong Chen
Eric Xing
Yuejie Chi
Louis-Philippe Morency
Kun Zhang
244
44
0
08 Jun 2023
Proximity-Informed Calibration for Deep Neural Networks
Proximity-Informed Calibration for Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Miao Xiong
Ailin Deng
Pang Wei Koh
Jiaying Wu
Shen Li
Jianqing Xu
Bryan Hooi
UQCV
370
20
0
07 Jun 2023
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
Jintao Rong
Hao Chen
Tianrun Chen
Linlin Ou
Xinyi Yu
Yifan Liu
VLMVPVLM
194
8
0
04 Jun 2023
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
ProTeCt: Prompt Tuning for Taxonomic Open Set ClassificationComputer Vision and Pattern Recognition (CVPR), 2023
Tz-Ying Wu
Chih-Hui Ho
Nuno Vasconcelos
VLM
180
14
0
04 Jun 2023
Consistency-guided Prompt Learning for Vision-Language Models
Consistency-guided Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuvendu Roy
Ali Etemad
VLMVPVLM
321
91
0
01 Jun 2023
Learning Disentangled Prompts for Compositional Image Synthesis
Learning Disentangled Prompts for Compositional Image Synthesis
Kihyuk Sohn
Albert Eaton Shaw
Yuan Hao
Han Zhang
Luisa F. Polanía
Huiwen Chang
Lu Jiang
Irfan Essa
VLM
201
8
0
01 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior CorrectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Robert A. Marsden
Mario Döbler
Bin Yang
TTA
319
62
0
01 Jun 2023
Are Large Kernels Better Teachers than Transformers for ConvNets?
Are Large Kernels Better Teachers than Transformers for ConvNets?International Conference on Machine Learning (ICML), 2023
Tianjin Huang
Lu Yin
Zhenyu Zhang
Lijuan Shen
Meng Fang
Mykola Pechenizkiy
Zinan Lin
Shiwei Liu
219
16
0
30 May 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
350
254
0
29 May 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and
  Unlabeled Image Collections
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image CollectionsNeural Information Processing Systems (NeurIPS), 2023
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Mateusz Koziñski
Horst Possegger
Rogerio Feris
Horst Bischof
VLM
354
48
0
29 May 2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in
  Vision-Language Models
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
VLM
325
39
0
29 May 2023
Deeply Coupled Cross-Modal Prompt Learning
Deeply Coupled Cross-Modal Prompt LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuejing Liu
Wei Tang
Jinghui Lu
Rui Zhao
Zhaojun Guo
Fei Tan
VLM
218
21
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
VLMObjD
194
1
0
26 May 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
460
12
0
25 May 2023
Characterizing Out-of-Distribution Error via Optimal Transport
Characterizing Out-of-Distribution Error via Optimal TransportNeural Information Processing Systems (NeurIPS), 2023
Yuzhe Lu
Yilong Qin
Runtian Zhai
Andrew Shen
Ketong Chen
Zhenlin Wang
Soheil Kolouri
Simon Stepputtis
Joseph Campbell
Katia Sycara
OODD
255
20
0
25 May 2023
HARD: Hard Augmentations for Robust Distillation
HARD: Hard Augmentations for Robust Distillation
Arne F. Nix
Max F. Burg
Fabian H. Sinz
AAML
248
1
0
24 May 2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for
  Improved Vision-Language Compositionality
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language CompositionalityConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Harman Singh
Pengchuan Zhang
Qifan Wang
Mengjiao MJ Wang
Wenhan Xiong
Jingfei Du
Yu Chen
CoGeVLM
360
35
0
23 May 2023
An Inverse Scaling Law for CLIP Training
An Inverse Scaling Law for CLIP TrainingNeural Information Processing Systems (NeurIPS), 2023
Xianhang Li
Zeyu Wang
Cihang Xie
VLMCLIP
330
78
0
11 May 2023
Multi-Prompt with Depth Partitioned Cross-Modal Learning
Multi-Prompt with Depth Partitioned Cross-Modal Learning
Yingjie Tian
Yiqi Wang
Xianda Guo
Zheng Hua Zhu
Long Chen
VLM
250
0
0
10 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
611
22
0
10 May 2023
Unsupervised Domain Adaptation for Medical Image Segmentation via
  Feature-space Density Matching
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching
Tushar Kataria
Beatrice Knudsen
Shireen Y. Elhabian
OOD
170
0
0
09 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent AgreementInternational Conference on Machine Learning (ICML), 2023
Ailin Deng
Miao Xiong
Bryan Hooi
371
9
0
02 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasetsNeural Information Processing Systems (NeurIPS), 2023
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
648
593
0
27 Apr 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDaFedMLSSL
459
366
0
24 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution ShiftsIEEE International Conference on Computer Vision (ICCV), 2023
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
311
3
0
21 Apr 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders ForgetAAAI Conference on Artificial Intelligence (AAAI), 2023
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
338
21
0
20 Apr 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP
  Training
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Yihao Chen
Xianbiao Qi
Jianan Wang
Lei Zhang
185
24
0
17 Apr 2023
Towards Robust Prompts on Vision-Language Models
Towards Robust Prompts on Vision-Language Models
Jindong Gu
Ahmad Beirami
Xuezhi Wang
Alex Beutel
Juil Sock
Yao Qin
VLMVPVLM
254
10
0
17 Apr 2023
Chain of Thought Prompt Tuning in Vision Language Models
Chain of Thought Prompt Tuning in Vision Language Models
Jiaxin Ge
Hongyin Luo
Siyuan Qian
Yulu Gan
Jie Fu
Shanghang Zhang
VLMLRMMLLM
290
33
0
16 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific PerspectiveIEEE International Conference on Computer Vision (ICCV), 2023
Reza Averly
Wei-Lun Chao
OODD
236
16
0
13 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
VLMCLIP
281
17
0
12 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of
  Zoom and Spatial Biases in Image Classification
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationNeural Information Processing Systems (NeurIPS), 2023
Mohammad Reza Taesiri
Giang Nguyen
Sarra Habchi
Cor-Paul Bezemer
Anh Totti Nguyen
VLM
345
27
0
11 Apr 2023
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