Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown

Title
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 25 22 0 18 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance segmentation J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 32 5 0 17 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 36 3 0 14 Jan 2024
NODI: Out-Of-Distribution Detection with Noise from Diffusion Jingqiu Zhou Aojun Zhou Hongsheng Li DiffM 29 1 0 13 Jan 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding Bowen Shi Peisen Zhao Zichen Wang Yuhang Zhang Yaoming Wang ... Wenrui Dai Junni Zou Hongkai Xiong Qi Tian Xiaopeng Zhang VLM 40 7 0 12 Jan 2024
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
Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao Zhiding Yu Shiyi Lan Yutao Cheng A. Anandkumar Yingjie Lao Jose M. Alvarez 986 6 0 08 Jan 2024
Learning to Prompt with Text Only Supervision for Vision-Language Models Muhammad Uzair Khattak Muhammad Ferjad Naeem Muzammal Naseer Luc Van Gool F. Tombari VLM VPVLM 33 19 0 04 Jan 2024
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment Ziping Ma Furong Xu Jian Liu Ming Yang Qingpei Guo VLM 42 3 0 04 Jan 2024
Few-shot Adaptation of Multi-modal Foundation Models: A Survey Fan Liu Tianshu Zhang Wenwen Dai Wenwen Cai Wenwen Cai Xiaocong Zhou Delong Chen VLM OffRL 31 23 0 03 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector Jiawei Zhang Yufan Chen Cheng Jin Lei Zhu Yuantao Gu OODD UQCV AAML 35 6 0 03 Jan 2024
Universal Pyramid Adversarial Training for Improved ViT Performance Ping Yeh-Chiang Yipin Zhou Omid Poursaeed S. Narayan Shukla Tom Goldstein Ser-Nam Lim AAML ViT 16 0 0 26 Dec 2023
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Zhe Chen Jiannan Wu Wenhai Wang Weijie Su Guo Chen ... Bin Li Ping Luo Tong Lu Yu Qiao Jifeng Dai VLM MLLM 176 924 0 21 Dec 2023
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation Brian Nlong Zhao Yuhang Xiao Lyne Tchapmi Xinyang Jiang Yifan Yang Dongsheng Li Laurent Itti Vibhav Vineet Yunhao Ge VLM 115 7 0 21 Dec 2023
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
Gradient-based Parameter Selection for Efficient Fine-Tuning Zhi Zhang Qizhe Zhang Zijun Gao Renrui Zhang Ekaterina Shutova Shiji Zhou Shanghang Zhang 33 15 0 15 Dec 2023
Adaptive Shortcut Debiasing for Online Continual Learning Doyoung Kim Dongmin Park Yooju Shin Jihwan Bang Hwanjun Song Jae-Gil Lee CLL 52 2 0 14 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens Hans Hergen Lehmann Jae Hee Lee Stefan Wermter CLL 35 7 0 13 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need Tianjin Huang Tianlong Chen Zhangyang Wang Shiwei Liu 32 1 0 09 Dec 2023
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation Atoosa Malemir Chegini S. Feizi VLM 40 2 0 09 Dec 2023
Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan Kaifeng Chen Dilip Krishnan Dina Katabi Phillip Isola Yonglong Tian CLIP VLM 44 61 0 07 Dec 2023
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios Mushui Liu Weijie He Ziqian Lu Yunlong Yu VLM 27 1 0 06 Dec 2023
Rejuvenating image-GPT as Strong Visual Representation Learners Sucheng Ren Zeyu Wang Hongru Zhu Junfei Xiao Alan L. Yuille Cihang Xie VLM 57 7 0 04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals Tam Nguyen Tan-Minh Nguyen Richard G. Baraniuk 29 8 0 01 Dec 2023
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training Pavan Kumar Anasosalu Vasu Hadi Pouransari Fartash Faghri Raviteja Vemulapalli Oncel Tuzel CLIP VLM 33 43 0 28 Nov 2023
TransNeXt: Robust Foveal Visual Perception for Vision Transformers Dai Shi ViT 23 76 0 28 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai Tsung-Wei Ke Alexander C. Li Deepak Pathak Katerina Fragkiadaki TTA 32 15 0 27 Nov 2023
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models Xinyu Tian Shu Zou Zhaoyuan Yang Jing Zhang VLM 34 22 0 27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 44 0 0 27 Nov 2023
Having Second Thoughts? Let's hear it J. H. Lee Sujith Vijayan AAML 11 0 0 26 Nov 2023
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP Jiawang Bai Kuofeng Gao Shaobo Min Shu-Tao Xia Zhifeng Li Wei Liu VLM 26 37 0 26 Nov 2023
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective Sahil Verma Gantavya Bhatt Avi Schwarzschild Soumye Singhal Arnav M. Das Chirag Shah John P Dickerson Jeff Bilmes J. Bilmes AAML 59 1 0 25 Nov 2023
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 9 0 23 Nov 2023
Hardware Resilience Properties of Text-Guided Image Classifiers Syed Talal Wasim Kabila Haile Soboka Abdulrahman Mahmoud Salman Khan David Brooks Gu-Yeon Wei VLM 27 1 0 23 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning Christopher Liao Theodoros Tsiligkaridis Brian Kulis OODD 49 5 0 21 Nov 2023
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion Yueqian Lin Jingyang Zhang Yiran Chen Hai Li DiffM 13 4 0 21 Nov 2023
Discrete approximations of Gaussian smoothing and Gaussian derivatives Tony Lindeberg 32 12 0 19 Nov 2023
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 18 0 19 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 42 16 0 15 Nov 2023
Domain Aligned CLIP for Few-shot Classification Muhammad Waleed Gondal Jochen Gast Inigo Alonso Ruiz Richard Droste Tommaso Macri Suren Kumar Luitpold Staudigl VLM 21 11 0 15 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 49 0 0 15 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 28 11 0 14 Nov 2023
Exploring Dataset-Scale Indicators of Data Quality Ben Feuer Chinmay Hegde 19 1 0 07 Nov 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model Cheng Cheng Lin Song Ruoyi Xue Hang Wang Hongbin Sun Yixiao Ge Ying Shan VLM ObjD 39 18 0 07 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns Zach Witzel Jubayer Ibn Hamid Tianhe Yu Chelsea Finn Karol Hausman OOD SSL 29 22 0 03 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 32 13 0 03 Nov 2023
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization Jameel Hassan Hanan Gani Noor Hussein Muhammad Uzair Khattak Muzammal Naseer Fahad Shahbaz Khan Salman Khan VLM OOD 61 61 0 02 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-xiong Wang Haohan Wang VLM 49 6 0 02 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023