Improving Fractal Pre-training

6 October 2021

Papers citing "Improving Fractal Pre-training"

21 / 21 papers shown

Title
VibrantLeaves: A principled parametric image generator for training deep restoration models Raphaël Achddou Y. Gousseau Saïd Ladjal Sabine Süsstrunk 28 0 0 14 Apr 2025
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data Yuto Shibata Keitaro Tanaka Yoshiaki Bando Keisuke Imoto Hirokatsu Kataoka Yoshimitsu Aoki 26 0 0 06 Apr 2025
Learning Image Fractals Using Chaotic Differentiable Point Splatting Adarsh Djeacoumar Felix Mujkanovic Hans-Peter Seidel Thomas Leimkuhler 36 0 0 24 Feb 2025
Learning Representation for Multitask learning through Self Supervised Auxiliary learning Seokwon Shin Hyungrok Do Youngdoo Son SSL 26 1 0 25 Sep 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 16 2 0 01 Aug 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin O. Lanz 32 0 0 11 May 2024
A Vision Check-up for Language Models Pratyusha Sharma Tamar Rott Shaham Manel Baradad Stephanie Fu Adrian Rodriguez-Munoz Shivam Duggal Phillip Isola Antonio Torralba VLM LRM 78 24 0 03 Jan 2024
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 25 7 0 07 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement Learning Zecheng Wang Che Wang Zixuan Dong Keith Ross OffRL 30 5 0 01 Oct 2023
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning Risa Shinoda Ryo Hayamizu Kodai Nakashima Nakamasa Inoue Rio Yokota Hirokatsu Kataoka VLM 26 8 0 29 Sep 2023
Pre-training Vision Transformers with Very Limited Synthesized Images Ryo Nakamura1 Hirokatsu Kataoka Sora Takashima Edgar Josafat Martinez-Noriega Rio Yokota Nakamasa Inoue 29 7 0 27 Jul 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 18 34 0 07 Apr 2023
Learning Fractals by Gradient Descent Cheng-Hao Tu Hong-You Chen David Carlyn Wei-Lun Chao 11 2 0 14 Mar 2023
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves Sora Takashima Ryo Hayamizu Nakamasa Inoue Hirokatsu Kataoka Rio Yokota 60 18 0 02 Mar 2023
$FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation$ FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation X. Xia Weijie Lv Xing He Nan Li Chuanqi Liu Ning Ding 29 1 0 30 Jan 2023
A Survey of Deep Learning for Mathematical Reasoning Pan Lu Liang Qiu Wenhao Yu Sean Welleck Kai-Wei Chang ReLM LRM 32 137 0 20 Dec 2022
Procedural Image Programs for Representation Learning Manel Baradad Chun-Fu Jonas Wulff Tongzhou Wang Rogerio Feris Antonio Torralba Phillip Isola 13 18 0 29 Nov 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 17 77 0 23 Jun 2022
Insights into Pre-training via Simpler Synthetic Tasks Yuhuai Wu Felix Li Percy Liang AIMat 24 20 0 21 Jun 2022
Replacing Labeled Real-image Datasets with Auto-generated Contours Hirokatsu Kataoka Ryo Hayamizu Ryosuke Yamada Kodai Nakashima Sora Takashima Xinyu Zhang Edgar Josafat Martinez-Noriega Nakamasa Inoue Rio Yokota 20 23 0 18 Jun 2022
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021