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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 / 818 papers shown
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Robust Fine-tuning of Zero-shot Models via Variance ReductionNeural Information Processing Systems (NeurIPS), 2024
B. Zhu
Jiequan Cui
Han Zhang
VLMOODD
229
6
0
11 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
226
1
0
11 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Online-LoRA: Task-free Online Continual Learning via Low Rank AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Xiwen Wei
Guihong Li
R. Marculescu
242
14
0
08 Nov 2024
Learning Where to Edit Vision Transformers
Learning Where to Edit Vision TransformersNeural Information Processing Systems (NeurIPS), 2024
Yunqiao Yang
Long-Kai Huang
Shengzhuang Chen
Kede Ma
Ying Wei
KELM
228
2
0
04 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation ModelsNeural Information Processing Systems (NeurIPS), 2024
Junjiao Tian
Chengyue Huang
Z. Kira
188
3
0
03 Nov 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream
  Generalization of CLIP
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIPNeural Information Processing Systems (NeurIPS), 2024
Chen Huang
Skyler Seto
Samira Abnar
David Grangier
Navdeep Jaitly
J. Susskind
VLM
262
4
0
31 Oct 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk
  Minimization in Meta Learning
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta LearningNeural Information Processing Systems (NeurIPS), 2024
Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
294
5
0
30 Oct 2024
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct
  Image Datasets
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image DatasetsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Adrian Iordache
B. Alexe
Radu Tudor Ionescu
306
2
0
29 Oct 2024
Beyond Interpretability: The Gains of Feature Monosemanticity on Model
  Robustness
Beyond Interpretability: The Gains of Feature Monosemanticity on Model RobustnessInternational Conference on Learning Representations (ICLR), 2024
Qi Zhang
Yifei Wang
Jingyi Cui
Xiang Pan
Qi Lei
Stefanie Jegelka
Yisen Wang
AAML
286
4
0
27 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution
  Learning and Bias Correcting
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias CorrectingNeural Information Processing Systems (NeurIPS), 2024
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
Hanwang Zhang
VLMVPVLM
295
17
0
25 Oct 2024
Probabilistic Language-Image Pre-Training
Probabilistic Language-Image Pre-TrainingInternational Conference on Learning Representations (ICLR), 2024
Sanghyuk Chun
Wonjae Kim
Song Park
Sangdoo Yun
MLLMVLMCLIP
1.2K
14
2
24 Oct 2024
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained
  Models via Model Editing
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
Dongliang Guo
Mengxuan Hu
Zihan Guan
Junfeng Guo
Thomas Hartvigsen
Sheng Li
AAML
365
4
0
23 Oct 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via
  Regional Bootstrapping
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional BootstrappingNeural Information Processing Systems (NeurIPS), 2024
Taolin Zhang
Jinqiao Wang
Hang Guo
Tao Dai
Bin Chen
Shu-Tao Xia
VLMTTA
282
0
0
20 Oct 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language
  Models
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Ce Zhang
Simon Stepputtis
Katia Sycara
Yaqi Xie
VLM
261
23
0
16 Oct 2024
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Zixin Wang
Dong Gong
Sen Wang
Zi Huang
Yadan Luo
VLM
388
0
0
16 Oct 2024
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient
  Multimodal Learning
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao
Mahyar Najibi
Sachin Mehta
CLIPDiffM
260
1
0
15 Oct 2024
LOBG:Less Overfitting for Better Generalization in Vision-Language Model
LOBG:Less Overfitting for Better Generalization in Vision-Language Model
Chenhao Ding
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Alex C. Kot
Yihong Gong
VLM
239
1
0
14 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
198
2
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 ModelsNeural Information Processing Systems (NeurIPS), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLMOODD
332
12
0
11 Oct 2024
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with
  Heterogeneous Graph Adapter
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao
Bo Jiang
Xiao Wang
Qin Xu
Jin Tang
VLM
256
4
0
10 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
664
3
0
08 Oct 2024
Precise Model Benchmarking with Only a Few Observations
Precise Model Benchmarking with Only a Few ObservationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Riccardo Fogliato
Pratik Patil
Nil-Jana Akpinar
Mathew Monfort
208
1
0
07 Oct 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image
  Classification
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image ClassificationNeural Information Processing Systems (NeurIPS), 2024
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
192
4
0
07 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
912
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 AccelerationInternational Conference on Learning Representations (ICLR), 2024
Jintao Zhang
Jia Wei
Pengle Zhang
Jun-Jie Zhu
Jun Zhu
Jianfei Chen
VLMMQ
686
83
0
03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationInternational Conference on Learning Representations (ICLR), 2024
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OODMoMe
464
15
0
03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Shouqing Yang
Jianguo Huang
VLM
539
4
0
03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
349
7
0
02 Oct 2024
Rethinking Misalignment in Vision-Language Model Adaptation from a
  Causal Perspective
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Yanan Zhang
Jiangmeng Li
Lixiang Liu
Jingyao Wang
VLM
335
10
0
01 Oct 2024
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
Zongbo Han
Jialong Yang
Guangyu Wang
Junfan Li
Qianli Xu
Mike Zheng Shou
Changqing Zhang
TTAVLM
416
10
0
28 Sep 2024
HydraViT: Stacking Heads for a Scalable ViT
HydraViT: Stacking Heads for a Scalable ViTNeural Information Processing Systems (NeurIPS), 2024
Janek Haberer
A. Hojjat
Olaf Landsiedel
215
6
0
26 Sep 2024
Cascade Prompt Learning for Vision-Language Model Adaptation
Cascade Prompt Learning for Vision-Language Model AdaptationEuropean Conference on Computer Vision (ECCV), 2024
Ge Wu
Xin Zhang
Zheng Li
Zhaowei Chen
Jiajun Liang
Jian Yang
Xiang Li
VLM
309
24
0
26 Sep 2024
P4Q: Learning to Prompt for Quantization in Visual-language Models
P4Q: Learning to Prompt for Quantization in Visual-language Models
H. Sun
Runqi Wang
Yanjing Li
Xianbin Cao
Xiaolong Jiang
Feng-Long Xie
Baochang Zhang
MQVLM
246
5
0
26 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationNeural Information Processing Systems (NeurIPS), 2024
Yao Ni
Shan Zhang
Piotr Koniusz
1.1K
14
0
25 Sep 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient
  Modification
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient ModificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Ming Li
J. Zhong
Chenxin Li
Liuzhuozheng Li
Nie Lin
Masashi Sugiyama
CLIPVLM
199
21
0
25 Sep 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2024
Zheda Mai
Ping Zhang
Cheng-Hao Tu
Hong-You Chen
Li Zhang
Wei-Lun Chao
303
0
0
24 Sep 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision
  Transformer
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
221
1
0
21 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity
Simple Unsupervised Knowledge Distillation With Space SimilarityEuropean Conference on Computer Vision (ECCV), 2024
Aditya Singh
Haohan Wang
375
5
0
20 Sep 2024
Mixture of Prompt Learning for Vision Language Models
Mixture of Prompt Learning for Vision Language Models
Yu Du
Tong Niu
Rong Zhao
VLM
114
0
0
18 Sep 2024
CLIP Adaptation by Intra-modal Overlap Reduction
CLIP Adaptation by Intra-modal Overlap ReductionBritish Machine Vision Conference (BMVC), 2024
A. Kravets
V. Namboodiri
VLM
257
2
0
17 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong
Pan Zhou
W. Zuo
VLM
232
0
0
17 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
MLLMVPVLMVLM
363
4
0
10 Sep 2024
VFA: Vision Frequency Analysis of Foundation Models and Human
VFA: Vision Frequency Analysis of Foundation Models and Human
Mohammad Javad Darvishi Bayazi
Md Rifat Arefin
Jocelyn Faubert
Irina Rish
VLM
209
1
0
09 Sep 2024
Top-GAP: Integrating Size Priors in CNNs for more Interpretability,
  Robustness, and Bias Mitigation
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation
Lars Nieradzik
Henrike Stephani
Janis Keuper
FAttAAML
253
1
0
07 Sep 2024
Optimizing CLIP Models for Image Retrieval with Maintained
  Joint-Embedding Alignment
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentSimilarity Search and Applications (SISAP), 2024
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
VLM
291
8
0
03 Sep 2024
Data Augmentation for Image Classification using Generative AI
Data Augmentation for Image Classification using Generative AIIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Fazle Rahat
M Shifat Hossain
Md Rubel Ahmed
Sumit Kumar Jha
Rickard Ewetz
VLM
244
11
0
31 Aug 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
477
5
0
31 Aug 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with
  Brain-machine Fusion Learning Framework
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
Shuangchen Zhao
Changde Du
Hui Li
Huiguang He
157
2
0
27 Aug 2024
HPT++: Hierarchically Prompting Vision-Language Models with
  Multi-Granularity Knowledge Generation and Improved Structure Modeling
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
Yubin Wang
Xinyang Jiang
De Cheng
Wenli Sun
Dongsheng Li
Cairong Zhao
VLM
227
1
0
27 Aug 2024
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Shuai Fu
Xiequn Wang
Qiushi Huang
Yu Zhang
VLM
196
4
0
26 Aug 2024
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