Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017

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

50 / 421 papers shown

Title
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shunsuke Yoneda Valdemar Švábenský Gen Li Daisuke Deguchi Atsushi Shimada 26 0 0 14 May 2025
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 49 0 0 12 May 2025
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models Wufei Ma Luoxin Ye Nessa McWeeney Celso M de Melo A. Yuille Jieneng Chen LRM 65 1 0 01 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 78 0 0 29 Apr 2025
Imbalanced malware classification: an approach based on dynamic classifier selection J. V. S. Souza C. B. Vieira G. D. C. Cunha R. M. O. Cruz 47 0 0 30 Mar 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 52 0 0 27 Mar 2025
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models Julian Spravil Sebastian Houben Sven Behnke VLM 75 0 0 12 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 135 1 0 10 Mar 2025
Is Pre-training Applicable to the Decoder for Dense Prediction? Chao Ning Wanshui Gan Weihao Xuan Naoto Yokoya 48 0 0 05 Mar 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 83 2 0 10 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 38 0 0 09 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 289 0 0 05 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 46 8 0 20 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 105 18 0 17 Jan 2025
MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection Arkaprava Sinha Monish Soundar Raj Pu Wang Ahmed Helmy Srijan Das Mamba 53 3 0 10 Jan 2025
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images Virmarie Maquiling Sean Anthony Byrne D. Niehorster Marco Carminati Enkelejda Kasneci VLM 45 0 0 11 Oct 2024
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Yang Zhou Hao Shao Letian Wang Steven Waslander Hongsheng Li Yu Liu 36 2 0 11 Oct 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 20 0 0 19 Sep 2024
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 26 1 0 14 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 33 0 0 11 Sep 2024
Data Augmentation via Latent Diffusion for Saliency Prediction Bahar Aydemir Deblina Bhattacharjee Tong Zhang Mathieu Salzmann Sabine Süsstrunk 28 1 0 11 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 45 3 0 30 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 33 29 0 01 Aug 2024
Scaling Backwards: Minimal Synthetic Pre-training? Ryo Nakamura Ryu Tadokoro Ryosuke Yamada Tim Puhlfürß Iro Laina Christian Rupprecht Walid Maalej Rio Yokota Hirokatsu Kataoka DD 22 2 0 01 Aug 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 33 2 0 15 Jul 2024
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification Omar S. El-Assiouti Ghada Hamed Dina Khattab H. M. Ebied 42 1 0 10 Jul 2024
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models Ziche Liu Rui Ke Feng Jiang Feng Jiang Haizhou Li 69 1 0 20 Jun 2024
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels Samuele Cornell Janek Ebbers Constance Douwes Irene Martín-Morató Manu Harju A. Mesaros Romain Serizel 37 13 0 12 Jun 2024
Data Measurements for Decentralized Data Markets Charles Lu Mohammad Mohammadi Amiri Ramesh Raskar FedML 42 5 0 06 Jun 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin Oswald Lanz 32 0 0 11 May 2024
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation Haonan Wang 40 0 0 11 May 2024
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks Dongang Wang Peilin Liu Hengrui Wang H. Beadnall K. Kyle ... Tom Weidong Cai Wanli Ouyang Fernando Calamante Michael Barnett Chenyu Wang 32 2 0 04 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 42 6 0 04 Apr 2024
SpiralMLP: A Lightweight Vision MLP Architecture Haojie Mu Burhan Ul Tayyab Nicholas Chua 43 0 0 31 Mar 2024
Tiny Models are the Computational Saver for Large Models Qingyuan Wang B. Cardiff Antoine Frappé Benoît Larras Deepu John 44 2 0 26 Mar 2024
Activating Wider Areas in Image Super-Resolution Cheng Cheng Hang Wang Hongbin Sun 37 10 0 13 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 42 28 0 13 Mar 2024
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write B. Mitrevski Arina Rak Julian Schnitzler Chengkun Li Andrii Maksai Jesse Berent C. Musat DiffM 26 0 0 08 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 23 7 0 05 Feb 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy Edward Sanderson B. Matuszewski 23 2 0 11 Jan 2024
Setting the Record Straight on Transformer Oversmoothing G. Dovonon M. Bronstein Matt J. Kusner 28 5 0 09 Jan 2024
Cached Transformers: Improving Transformers with Differentiable Memory Cache Zhaoyang Zhang Wenqi Shao Yixiao Ge Xiaogang Wang Liang Feng Ping Luo 16 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 18 16 0 08 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
How much data do I need? A case study on medical data Ayse Betul Cengiz A. Mcgough 11 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 42 143 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 27 0 0 15 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 48 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 32 16 0 15 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 34 16 0 19 Aug 2023