Title
What do neural networks learn in image classification? A frequency shortcut perspective Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio 25 23 0 19 Jul 2023
RepViT: Revisiting Mobile CNN From ViT Perspective Ao Wang Hui Chen Zijia Lin Hengjun Pu Guiguang Ding 39 180 0 18 Jul 2023
Neural Image Compression: Generalization, Robustness, and Spectral Biases Kelsey Lieberman James Diffenderfer Charles Godfrey B. Kailkhura 37 4 0 17 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 37 19 0 17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 95 1 0 17 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 37 9 0 16 Jul 2023
Self-regulating Prompts: Foundational Model Adaptation without Forgetting Muhammad Uzair Khattak Syed Talal Wasim Muzammal Naseer Salman Khan Ming-Hsuan Yang Fahad Shahbaz Khan VLM 23 169 0 13 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 29 6 0 10 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation Annie Xie Lisa Lee Ted Xiao Chelsea Finn 30 55 0 07 Jul 2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification Yongcan Yu Lijun Sheng Ran He Jian Liang OOD VLM TTA 35 15 0 06 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning Pratyush Maini Sachin Goyal Zachary Chase Lipton J. Zico Kolter Aditi Raghunathan VLM 45 33 0 06 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 34 97 0 05 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 48 2 0 03 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 37 0 0 01 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs F. Sarfraz Elahe Arani Bahram Zonooz 27 1 0 30 Jun 2023
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 31 4 0 30 Jun 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse Marcel Bohme AAML 74 22 0 28 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 CLIP VLM 56 19 0 27 Jun 2023
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 33 11 0 21 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 69 12 0 19 Jun 2023
Neural Priming for Sample-Efficient Adaptation Matthew Wallingford Vivek Ramanujan Alex Fang Aditya Kusupati Roozbeh Mottaghi Aniruddha Kembhavi Ludwig Schmidt Ali Farhadi VLM 113 13 0 16 Jun 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 48 98 0 15 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 26 1 0 15 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 31 18 0 14 Jun 2023
POP: Prompt Of Prompts for Continual Learning Zhiyuan Hu J. Lyu Dashan Gao Nuno Vasconcelos CLL LRM VLM 34 5 0 14 Jun 2023
Generating Images with 3D Annotations Using Diffusion Models Wufei Ma Qihao Liu Jiahao Wang Angtian Wang Xiaoding Yuan ... Ruxiao Duan Yongrui Qi Adam Kortylewski Yaoyao Liu Alan Yuille DiffM 34 4 0 13 Jun 2023
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning Arnav Chavan Zhuang Liu D. K. Gupta Eric P. Xing Zhiqiang Shen 36 87 0 13 Jun 2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts Karsten Roth Jae Myung Kim A. Sophia Koepke Oriol Vinyals Cordelia Schmid Zeynep Akata VLM 37 71 0 12 Jun 2023
FasterViT: Fast Vision Transformers with Hierarchical Attention Ali Hatamizadeh Greg Heinrich Hongxu Yin Andrew Tao J. Álvarez Jan Kautz Pavlo Molchanov ViT 30 68 0 09 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process Changyao Tian Chenxin Tao Jifeng Dai Hao Li Ziheng Li Lewei Lu Xiaogang Wang Hongsheng Li Gao Huang Xizhou Zhu DiffM 31 9 0 08 Jun 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation Ori Press Steffen Schneider Matthias Kümmerer Matthias Bethge TTA 34 28 0 08 Jun 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning Jianhong Bai Zuozhu Liu Hualiang Wang Jinxiang Hao Yang Feng Huanpeng Chu Haoji Hu OODD 49 17 0 08 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 42 42 0 06 Jun 2023
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification Jintao Rong Hao Chen Tianrun Chen Linlin Ou Xinyi Yu Yifan Liu VLM VPVLM 15 6 0 04 Jun 2023
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification Tz-Ying Wu Chih-Hui Ho Nuno Vasconcelos VLM 10 5 0 04 Jun 2023
Consistency-guided Prompt Learning for Vision-Language Models Shuvendu Roy Ali Etemad VLM VPVLM 28 52 0 01 Jun 2023
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 26 6 0 01 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction Robert A. Marsden Mario Döbler Bin Yang TTA 32 33 0 01 Jun 2023
Too Large; Data Reduction for Vision-Language Pre-Training Alex Jinpeng Wang Kevin Qinghong Lin David Junhao Zhang Stan Weixian Lei Mike Zheng Shou VLM 33 24 0 31 May 2023
Are Large Kernels Better Teachers than Transformers for ConvNets? Tianjin Huang Lu Yin Zhenyu Zhang Lijuan Shen Meng Fang Mykola Pechenizkiy Zhangyang Wang Shiwei Liu 43 13 0 30 May 2023
Learning without Forgetting for Vision-Language Models Da-Wei Zhou Yuanhan Zhang Jingyi Ning Jingyi Ning De-Chuan Zhan De-Chuan Zhan Ziwei Liu VLM CLL 78 37 0 30 May 2023
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 78 190 0 29 May 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections M. Jehanzeb Mirza Leonid Karlinsky Wei Lin Mateusz Koziñski Horst Possegger Rogerio Feris Horst Bischof VLM 50 30 0 29 May 2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models Shuai Zhao Xiaohan Wang Linchao Zhu Yezhou Yang VLM 39 22 0 29 May 2023
Deeply Coupled Cross-Modal Prompt Learning Xuejing Liu Wei Tang Jinghui Lu Rui Zhao Zhaojun Guo Fei Tan VLM 33 17 0 29 May 2023
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
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 37 25 0 26 May 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen Mark Collier Basil Mustafa Tianlin Li Xiaohua Zhai Lucas Beyer Andreas Steiner Jesse Berent Rodolphe Jenatton Efi Kokiopoulou VLM 45 12 0 26 May 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 45 6 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 31 4 0 25 May 2023