Big Transfer (BiT): General Visual Representation Learning

24 December 2019

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

50 / 724 papers shown

Title
Understanding the Role of Invariance in Transfer Learning Till Speicher Vedant Nanda Krishna P. Gummadi SSL OOD 40 1 0 05 Jul 2024
AMD: Automatic Multi-step Distillation of Large-scale Vision Models Cheng Han Qifan Wang S. Dianat Majid Rabbani Raghuveer M. Rao Yi Fang Qiang Guan Lifu Huang Dongfang Liu VLM 33 4 0 05 Jul 2024
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy Tao Li Weisen Jiang Fanghui Liu X. Huang James T. Kwok MoMe 53 1 0 04 Jul 2024
Precision at Scale: Domain-Specific Datasets On-Demand Jesús M. Rodríguez-de-Vera Imanol G. Estepa Ignacio Sarasúa Bhalaji Nagarajan P. Radeva 34 2 0 03 Jul 2024
Towards Efficient and Scalable Training of Differentially Private Deep Learning Sebastian Rodriguez Beltran Marlon Tobaben Niki Loppi Antti Honkela 19 0 0 25 Jun 2024
The Progression of Transformers from Language to Vision to MOT: A Literature Review on Multi-Object Tracking with Transformers Abhi Kamboj 30 0 0 24 Jun 2024
Learning in Wilson-Cowan model for metapopulation Raffaele Marino L. Buffoni Lorenzo Chicchi F. Patti Diego Febbe Lorenzo Giambagli Duccio Fanelli 31 1 0 24 Jun 2024
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis Guillaume Jaume Paul Doucet Andrew H. Song Ming Y. Lu Cristina Almagro-Pérez ... Anurag J. Vaidya Richard J. Chen Drew F. K. Williamson Ahrong Kim Faisal Mahmood 44 28 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
Cross-domain Open-world Discovery Shuo Wen Maria Brbic OOD 47 3 0 17 Jun 2024
Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings Keno Moenck Duc Trung Thieu Julian Koch Thorsten Schuppstuhl VLM 27 0 0 14 Jun 2024
Strategies for Pretraining Neural Operators Anthony Y. Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 34 4 0 12 Jun 2024
Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu Boran Han Danielle C. Maddix Shuai Zhang Yuyang Wang Andrew Gordon Wilson 25 1 0 11 Jun 2024
Let Go of Your Labels with Unsupervised Transfer Artyom Gadetsky Yulun Jiang Maria Brbić VLM 32 6 0 11 Jun 2024
Polyp and Surgical Instrument Segmentation with Double Encoder-Decoder Networks Adrian Galdran MedIm 33 4 0 06 Jun 2024
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging Michail Theologitis Georgios Frangias Georgios Anestis V. Samoladas Antonios Deligiannakis FedML 19 0 0 31 May 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning Jacob Mitchell Springer Vaishnavh Nagarajan Aditi Raghunathan 37 5 0 30 May 2024
YotoR-You Only Transform One Representation José Ignacio Díaz Villa P. Loncomilla Javier Ruiz-del-Solar ViT 27 0 0 30 May 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts Mohammed Nowaz Rabbani Chowdhury Meng Wang K. E. Maghraoui Naigang Wang Pin-Yu Chen Christopher Carothers MoE 31 4 0 26 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 26 8 0 24 May 2024
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark Huali Ren Anli Yan Chong-zhi Gao Hongyang Yan Zhenxin Zhang Jin Li VLM AAML 30 4 0 24 May 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 31 2 0 23 May 2024
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks Kovvuri Sai Bodduluri Saran A. M. Adityaja Saurabh J. Shigwan Nitin Kumar 26 1 0 09 May 2024
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies Jonathan Serrano-Pérez Raquel Díaz-Hernández L. Sucar 12 1 0 03 May 2024
Machine Learning Techniques for MRI Data Processing at Expanding Scale Taro Langner 27 0 0 22 Apr 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology Oren Z. Kraus Kian Kenyon-Dean Saber Saberian Maryam Fallah Peter McLean ... Chi Vicky Cheng Kristen Morse Maureen Makes Ben Mabey Berton A. Earnshaw 32 26 0 16 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan Saurabh Garg Mrigank Raman Carlos Guestrin Zachary Chase Lipton 34 0 0 11 Apr 2024
Better Monocular 3D Detectors with LiDAR from the Past Yurong You Cheng Perng Phoo Carlos Diaz-Ruiz Katie Z Luo Wei-Lun Chao Mark E. Campbell B. Hariharan Kilian Q. Weinberger 3DPC 29 1 0 08 Apr 2024
SpiralMLP: A Lightweight Vision MLP Architecture Haojie Mu Burhan Ul Tayyab Nicholas Chua 37 0 0 31 Mar 2024
Revisiting Random Weight Perturbation for Efficiently Improving Generalization Tao Li Qinghua Tao Weihao Yan Zehao Lei Yingwen Wu Kun Fang M. He Xiaolin Huang AAML 28 5 0 30 Mar 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification Yibo Miao Yu Lei Feng Zhou Zhijie Deng VLM UQCV BDL 38 1 0 30 Mar 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization Yuhang Li Xin Dong Chen Chen Jingtao Li Yuxin Wen Michael Spranger Lingjuan Lyu DiffM 28 4 0 28 Mar 2024
LocCa: Visual Pretraining with Location-aware Captioners Bo Wan Michael Tschannen Yongqin Xian Filip Pavetić Ibrahim M. Alabdulmohsin Xiao Wang André Susano Pinto Andreas Steiner Lucas Beyer Xiao-Qi Zhai VLM 40 6 0 28 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 33 51 0 28 Mar 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian Harsh Rangwani S. Takemori Kunal Samanta Yuhei Umeda Venkatesh Babu Radhakrishnan 36 0 0 27 Mar 2024
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection Tim Salzmann Markus Ryll Alex Bewley Matthias Minderer 40 4 0 21 Mar 2024
NeoNeXt: Novel neural network operator and architecture based on the patch-wise matrix multiplications Vladimir Korviakov Denis Koposov 29 0 0 17 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 19 0 0 16 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 29 4 0 15 Mar 2024
Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou Arash Afkanpour Vahid Reza Khazaie Fereshteh Forghani 24 3 0 09 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 35 0 0 06 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 43 5 0 05 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You Benjamin Cohen-Wang Joshua Vendrow Aleksander Madry OOD 21 3 0 29 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 34 1 0 25 Feb 2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings R. Rikhye Aaron Loh G. Hong Preeti Singh M. A. Smith ... P. Bui Yuan Liu Yun-hui Liu Justin M. Ko Steven Lin 19 1 0 23 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 33 2 0 05 Feb 2024
Revisiting the Power of Prompt for Visual Tuning Yuzhu Wang Lechao Cheng Chaowei Fang Dingwen Zhang Manni Duan Meng Wang VLM 46 14 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 19 6 0 03 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 51 12 0 02 Feb 2024
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors Samuel Stevens Emily Wenger C. Li Niklas Nolte Eshika Saxena François Charton Kristin E. Lauter AAML 28 6 0 02 Feb 2024