Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

50 / 536 papers shown

Title
Cached Transformers: Improving Transformers with Differentiable Memory Cache Zhaoyang Zhang Wenqi Shao Yixiao Ge Xiaogang Wang Liang Feng Ping Luo 24 2 0 20 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 34 16 0 08 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 49 0 0 08 Dec 2023
How much data do I need? A case study on medical data Ayse Betul Cengiz A. Mcgough 39 2 0 26 Nov 2023
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Bin Xiao Haiping Wu Weijian Xu Xiyang Dai Houdong Hu Yumao Lu Michael Zeng Ce Liu Lu Yuan VLM 59 148 0 10 Nov 2023
New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models Jinwoo Seo Soora Choi Eungyeom Ha Beomjune Kim Dongbin Na 37 0 0 15 Oct 2023
GeRA: Label-Efficient Geometrically Regularized Alignment Dustin Klebe Tal Shnitzer Mikhail Yurochkin Leonid Karlinsky Justin Solomon 40 2 0 01 Oct 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition W. He Kai Han Ying Nie Chengcheng Wang Yunhe Wang VLM 53 6 0 25 Sep 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning Dingshuo Chen Yanqiao Zhu Jieyu Zhang Yuanqi Du Zhixun Li Qiang Liu Shu Wu Liang Wang 39 17 0 15 Sep 2023
Looking at words and points with attention: a benchmark for text-to-shape coherence Andrea Amaduzzi Giuseppe Lisanti Samuele Salti Luigi Di Stefano 27 2 0 14 Sep 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 52 17 0 19 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin Zhao Li 69 3 0 13 Aug 2023
From Sparse to Soft Mixtures of Experts J. Puigcerver C. Riquelme Basil Mustafa N. Houlsby MoE 121 117 0 02 Aug 2023
Sampling to Distill: Knowledge Transfer from Open-World Data Yuzheng Wang Zhaoyu Chen Jie M. Zhang Dingkang Yang Zuhao Ge Yang Liu Siao Liu Yunquan Sun Wenqiang Zhang Lizhe Qi 43 9 0 31 Jul 2023
What Can Simple Arithmetic Operations Do for Temporal Modeling? Wenhao Wu Yuxin Song Zhun Sun Jingdong Wang Chang Xu Wanli Ouyang 47 8 0 18 Jul 2023
Does Visual Pretraining Help End-to-End Reasoning? Chen Sun Calvin Luo Xingyi Zhou Anurag Arnab Cordelia Schmid OCL LRM ViT 46 3 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 2 0 17 Jul 2023
Stitched ViTs are Flexible Vision Backbones Zizheng Pan Jing Liu Haoyu He Jianfei Cai Bohan Zhuang 33 3 0 30 Jun 2023
RedMotion: Motion Prediction via Redundancy Reduction Royden Wagner Omer Sahin Tas Marvin Klemp Carlos Fernandez Lopez Christoph Stiller 82 8 0 19 Jun 2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models Lingxi Xie Longhui Wei Xiaopeng Zhang Kaifeng Bi Xiaotao Gu Jianlong Chang Qi Tian 67 7 0 14 Jun 2023
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning Edward C. Williams Grace Su Sandra R. Schloen Miller C. Prosser Susanne Paulus S.Rohith Krishnan 47 3 0 02 Jun 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen Jan van Gemert 37 9 0 31 May 2023
One-Step Knowledge Distillation and Fine-Tuning in Using Large Pre-Trained Self-Supervised Learning Models for Speaker Verification Ju-Sung Heo Chan-yeong Lim Ju-ho Kim Hyun-Seo Shin Ha-Jin Yu 36 2 0 27 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 39 11 0 21 May 2023
Multimodal Web Navigation with Instruction-Finetuned Foundation Models Hiroki Furuta Kuang-Huei Lee Ofir Nachum Yutaka Matsuo Aleksandra Faust S. Gu Izzeddin Gur LM&Ro 49 95 0 19 May 2023
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning Ahmad Al Harere Khloud Al Jallad 36 3 0 10 May 2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers A. Gritsenko Xuehan Xiong Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid Anurag Arnab ViT 61 13 0 24 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 65 302 0 17 Apr 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 52 30 0 17 Apr 2023
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation Jie Guo Qimeng Wang Yan Gao Xiaolong Jiang Xu Tang Yao Hu Baochang Zhang VLM 39 11 0 14 Apr 2023
RECLIP: Resource-efficient CLIP by Training with Small Images Runze Li Dahun Kim B. Bhanu Weicheng Kuo VLM CLIP 46 13 0 12 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 47 41 0 07 Apr 2023
MoViT: Memorizing Vision Transformers for Medical Image Analysis Yiqing Shen Pengfei Guo Jinpu Wu Qi Huang Nhat Le Jinyuan Zhou Shanshan Jiang Mathias Unberath ViT MedIm 41 10 0 27 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers Kevin Clark P. Jaini DiffM VLM 45 112 0 27 Mar 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 51 1 0 26 Mar 2023
Machine Learning for Brain Disorders: Transformers and Visual Transformers Robin Courant Maika Edberg Nicolas Dufour Vicky Kalogeiton MedIm ViT 45 1 0 21 Mar 2023
EgoViT: Pyramid Video Transformer for Egocentric Action Recognition Chen-Ming Pan Zhiqi Zhang Senem Velipasalar Yi Tian Xu ViT 37 1 0 15 Mar 2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection Marius Schubert Tobias Riedlinger Karsten Kahl Daniel Kröll S. Schoenen Sinisa Segvic Matthias Rottmann NoLa 37 6 0 13 Mar 2023
ViM: Vision Middleware for Unified Downstream Transferring Yutong Feng Biao Gong Jianwen Jiang Yiliang Lv Yujun Shen Deli Zhao Jingren Zhou 42 1 0 13 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 59 32 0 11 Mar 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements Achin Jain Gurumurthy Swaminathan Paolo Favaro Hao Yang Avinash Ravichandran ... Alessandro Achille Onkar Dabeer Bernt Schiele A. Swaminathan Stefano Soatto 42 8 0 02 Mar 2023
Bootstrapping Parallel Anchors for Relative Representations Irene Cannistraci Luca Moschella Valentino Maiorca Marco Fumero Antonio Norelli Emanuele Rodolà 56 4 0 01 Mar 2023
Efficient Masked Autoencoders with Self-Consistency Zhaowen Li Yousong Zhu Zhiyang Chen Wei Li Chaoyang Zhao Rui Zhao Ming Tang Jinqiao Wang 60 2 0 28 Feb 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 54 22 0 27 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 47 20 0 20 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 36 32 0 16 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 86 357 0 13 Feb 2023
Synaptic Stripping: How Pruning Can Bring Dead Neurons Back To Life Tim Whitaker L. D. Whitley CVBM 33 2 0 11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 94 580 0 10 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 43 237 0 07 Feb 2023