Big Transfer (BiT): General Visual Representation Learning

24 December 2019

Papers citing "Big Transfer (BiT): General Visual Representation Learning"

50 / 724 papers shown

Title
Characterizing Datapoints via Second-Split Forgetting Pratyush Maini Saurabh Garg Zachary Chase Lipton J. Zico Kolter 23 34 0 26 Oct 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 19 74 0 26 Oct 2022
End-to-end Transformer for Compressed Video Quality Enhancement Li Yu Wenshuai Chang Shiyu Wu M. Gabbouj ViT 19 8 0 25 Oct 2022
Deep Model Reassembly Xingyi Yang Zhou Daquan Songhua Liu Jingwen Ye Xinchao Wang MoMe 20 120 0 24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 31 116 0 20 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading Yijin Huang Junyan Lyu Pujin Cheng Roger Tam Xiaoying Tang ViT MedIm 19 19 0 20 Oct 2022
lo-fi: distributed fine-tuning without communication Mitchell Wortsman Suchin Gururangan Shen Li Ali Farhadi Ludwig Schmidt Michael G. Rabbat Ari S. Morcos 19 24 0 19 Oct 2022
On effects of Knowledge Distillation on Transfer Learning Sushil Thapa 11 1 0 18 Oct 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 43 3,252 0 16 Oct 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip H. S. Torr Song Bai Xiaojuan Qi 16 285 0 14 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 31 16 0 10 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 43 8 0 07 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 24 334 0 06 Oct 2022
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 32 18 0 05 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn Yuan Hao José Lezama Luisa F. Polanía Huiwen Chang Han Zhang Irfan Essa Lu Jiang VPVLM VLM 53 81 0 03 Oct 2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods Skanda Koppula Yazhe Li Evan Shelhamer Andrew Jaegle Nikhil Parthasarathy Relja Arandjelović João Carreira Olivier J. Hénaff 28 9 0 30 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 50 38 0 29 Sep 2022
Hebbian Deep Learning Without Feedback Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 18 48 0 23 Sep 2022
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions Dong-Ming Zhang Yi-Mou Lin Hao Chen Zhuotao Tian Xin Yang Jinhui Tang Kwang-Ting Cheng VLM 25 11 0 21 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 58 52 0 18 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods P. D. Alfano Vito Paolo Pastore Lorenzo Rosasco Francesca Odone 21 6 0 16 Sep 2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks Junke Wang Dongdong Chen Zuxuan Wu Chong Luo Luowei Zhou Yucheng Zhao Yujia Xie Ce Liu Yu-Gang Jiang Lu Yuan MLLM VLM 30 148 0 15 Sep 2022
Neural Networks Reduction via Lumping Dalila Ressi Riccardo Romanello S. Rossi Carla Piazza 27 4 0 15 Sep 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model Xi Chen Xiao Wang Soravit Changpinyo A. Piergiovanni Piotr Padlewski ... Andreas Steiner A. Angelova Xiaohua Zhai N. Houlsby Radu Soricut MLLM VLM 31 682 0 14 Sep 2022
Revisiting Neural Scaling Laws in Language and Vision Ibrahim M. Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 151 102 0 13 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 27 12 0 07 Sep 2022
Statistical Foundation Behind Machine Learning and Its Impact on Computer Vision Lei Zhang H. Shum VLM SSL 14 2 0 06 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 27 7 0 04 Sep 2022
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications Hyungjun Yoon Hyeong-Tae Cha Hoang C. Nguyen Taesik Gong Sungyeop Lee VLM SSL 24 0 0 02 Sep 2022
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches Florian Huber Artem Yushchenko Benedikt Stratmann Volker Steinhage 20 65 0 26 Aug 2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks Tianwei Chen Noa Garcia Mayu Otani Chenhui Chu Yuta Nakashima Hajime Nagahara VLM 27 0 0 23 Aug 2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image Jinkai Lv Yuyong Hu Quanshui Fu Zhiwang Zhang Yuqiang Hu Lin Lv Guoqing Yang Jinpeng Li Yi Zhao MedIm 15 9 0 23 Aug 2022
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity Daniel Poh Stephen J. Roberts S. Zohren 29 7 0 21 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 30 46 0 18 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 30 4 0 17 Aug 2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets Hao Chen R. Tao Han Zhang Yidong Wang Xiang Li Weirong Ye Jindong Wang Guosheng Hu Marios Savvides VPVLM 18 52 0 15 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 40 56 0 13 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 29 1 0 08 Aug 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples Sara Romiti C. Inskip V. Sharmanska Novi Quadrianto 12 2 0 03 Aug 2022
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training Benedict Yeoh Huijuan Wang GNN 26 1 0 03 Aug 2022
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding Hao-Kai Wen Yunze Liu Jingwei Huang Bokun Duan Li Yi ViT 3DPC 28 26 0 30 Jul 2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions Yongming Rao Wenliang Zhao Yansong Tang Jie Zhou Ser-Nam Lim Jiwen Lu ViT 20 252 0 28 Jul 2022
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification Xuyang Shen J. Plested Sabrina Caldwell Yiran Zhong Tom Gedeon 29 1 0 26 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 21 22 0 25 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 24 11 0 24 Jul 2022
An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto Philip H. S. Torr P. Dokania UQCV AAML 22 48 0 22 Jul 2022
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark Kibok Lee Hao Yang Satyaki Chakraborty Zhaowei Cai Gurumurthy Swaminathan Avinash Ravichandran O. Dabeer 27 21 0 22 Jul 2022
Hyper-Representations for Pre-Training and Transfer Learning Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 11 10 0 22 Jul 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 16 50 0 21 Jul 2022
Pretraining a Neural Network before Knowing Its Architecture Boris Knyazev AI4CE 6 1 0 20 Jul 2022