Early Stopping without a Validation Set

28 March 2017

Papers citing "Early Stopping without a Validation Set"

36 / 36 papers shown

Title
Supervised Models Can Generalize Also When Trained on Random Labels Oskar Allerbo Thomas B. Schön OOD SSL 29 0 0 16 May 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models Sudong Wang Yuyao Zhang Yao Zhu Jianing Li Zizhe Wang Yi Liu Xiangyang Ji 190 0 0 31 Mar 2025
Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages Matteo Farina Massimiliano Mancini Giovanni Iacca Elisa Ricci VLM 62 0 0 14 Mar 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 104 18 0 11 Feb 2025
Differentiating Policies for Non-Myopic Bayesian Optimization Darian Nwankwo David Bindel 25 0 0 14 Aug 2024
A Layer Selection Approach to Test Time Adaptation Sabyasachi Sahoo Mostafa ElAraby Jonas Ngnawé Y. Pequignot Frédéric Precioso Christian Gagné 21 0 0 04 Apr 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings Yassaman Ebrahimzadeh Maboud Muhammad Adnan Divyat Mahajan Prashant J. Nair AI4TS 43 0 0 22 Mar 2024
When do Convolutional Neural Networks Stop Learning? Sahan Ahmad Gabriel Trahan Aminul Islam OOD SSL 35 0 0 04 Mar 2024
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking Zhengyu Hu Jieyu Zhang Yue Yu Yuchen Zhuang Hui Xiong 26 5 0 04 Dec 2023
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning Lei You Hei Victor Cheng 21 2 0 07 Oct 2023
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends Xinrui Wang Wenhai Wan Chuanxing Geng Shaoyuan Li Songcan Chen 29 9 0 06 Oct 2023
Image-free Classifier Injection for Zero-Shot Classification Anders Christensen Massimiliano Mancini A. Sophia Koepke Ole Winther Zeynep Akata VLM 50 10 0 21 Aug 2023
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 30 1 0 20 Jul 2023
SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters Lawrence Wang Stephen J. Roberts 29 0 0 29 May 2023
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon Yi-Xiao Luo Bin Dong 28 0 0 25 May 2023
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 66 199 0 20 Oct 2022
Intersection of Parallels as an Early Stopping Criterion Ali Vardasbi Maarten de Rijke Mostafa Dehghani MoMe 41 5 0 19 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 40 3 0 03 Aug 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies Satvik Sharma Ellen R. Novoseller Vainavi Viswanath Zaynah Javed R. Parikh Ryan Hoque Ashwin Balakrishna Daniel S. Brown Ken Goldberg 21 8 0 02 Jul 2022
VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler C. Zheng Patrick McClure Robert A. Vandermeulen M. Hebart Francisco Câmara Pereira 26 17 0 02 May 2022
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher Kanghyun Choi Hye Yoon Lee Deokki Hong Joonsang Yu Noseong Park Youngsok Kim Jinho Lee MQ 38 31 0 31 Mar 2022
Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters Hongseok Choi Hyunju Lee 29 3 0 12 Nov 2021
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation David Bonet Antonio Ortega Javier Ruiz-Hidalgo Sarath Shekkizhar 45 16 0 27 Jul 2021
Disparity Between Batches as a Signal for Early Stopping Mahsa Forouzesh Patrick Thiran 39 8 0 14 Jul 2021
Isotonic Data Augmentation for Knowledge Distillation Wanyun Cui Sen Yan 29 7 0 03 Jul 2021
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks Frank Schneider Felix Dangel Philipp Hennig 45 10 0 12 Feb 2021
Channel Distillation: Channel-Wise Attention for Knowledge Distillation Zaida Zhou Chaoran Zhuge Xinwei Guan Wen Liu 19 49 0 02 Jun 2020
Time-varying neural network for stock return prediction Steven Y. K. Wong J. Chan Lamiae Azizi R. Xu AIFin OOD 13 0 0 05 Mar 2020
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 57 600 0 03 Oct 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set Katharina Kann Kyunghyun Cho Samuel R. Bowman 6 44 0 04 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 25 1,423 0 02 Aug 2019
Skeptical Deep Learning with Distribution Correction Mingxiao An Yongzhou Chen Qi Liu Chuanren Liu Guangyi Lv Fangzhao Wu Jianhui Ma NoLa 8 0 0 09 Nov 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 17 133 0 21 May 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 30 18 0 03 Jan 2018
Regularization and Optimization strategies in Deep Convolutional Neural Network P. Murugan S. Durairaj 29 47 0 13 Dec 2017
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients Lukas Balles Philipp Hennig 26 161 0 22 May 2017