Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 414 papers shown

Title
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models Wei-Bin Kou Guangxu Zhu Yichen Jin Shuai Wang Ming Tang Yik-Chung Wu 38 0 0 01 May 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 96 0 0 17 Apr 2025
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction Khoa Tran Bao Huynh T. Le Lam Pham Vy-Rin Nguyen Hung-Cuong Trinh Duong Tran Anh 36 0 0 27 Mar 2025
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement Gaifan Zhang Yi Zhou Danushka Bollegala 121 0 0 21 Mar 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 46 1 0 18 Feb 2025
Subjective Logic Encodings Jake Vasilakes Chrysoula Zerva Sophia Ananiadou 41 0 0 17 Feb 2025
mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition Andrew Rouditchenko Saurabhchand Bhati Samuel Thomas Hilde Kuehne Rogerio Feris 102 1 0 03 Feb 2025
A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification Younes Yousef Lukas Galke A. Scherp 44 0 0 23 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 175 0 0 14 Jan 2025
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 56 4 0 18 Oct 2024
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 81 2 0 15 Oct 2024
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra Shubha R. Kharel Fanchen Meng Xiaohui Qu Matthew R. Carbone Deyu Lu 29 0 0 29 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 48 1 0 11 Sep 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 46 2 0 24 Aug 2024
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge Timothy Dai Kate Maher Z. Perzan 29 1 0 30 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 43 0 0 23 Jul 2024
Compressing Search with Language Models Thomas Mulc Jennifer L. Steele 50 1 0 24 Jun 2024
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation Ya Lu Jishnu Jaykumar Yunhui Guo Nicholas Ruozzi Yu Xiang VLM ISeg 48 4 0 28 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 33 7 0 26 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 59 7 0 23 May 2024
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 29 4 0 22 May 2024
A New Robust Partial $p$ -Wasserstein-Based Metric for Comparing Distributions S. Raghvendra Pouyan Shirzadian Kaiyi Zhang 34 1 0 06 May 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control Yang Lin Xinyu Ma Xu Chu Yujie Jin Zhibang Yang Yasha Wang Hong-yan Mei 44 19 0 15 Apr 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging Iury B. de A. Santos André C.P.L.F. de Carvalho MedIm 22 1 0 06 Apr 2024
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations Huan Zhang Yifan Chen Eric Vanden-Eijnden Benjamin Peherstorfer 34 2 0 01 Apr 2024
Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction Xin Zhou Donggyun Han David Lo VLM 19 2 0 17 Mar 2024
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction Kuniaki Saito Kihyuk Sohn Chen-Yu Lee Yoshitaka Ushiku 62 2 0 16 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 59 4 0 13 Feb 2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent Benjamin Gess Sebastian Kassing Nimit Rana 32 0 0 02 Feb 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 44 0 0 25 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 28 153 0 05 Dec 2023
A Coefficient Makes SVRG Effective Yida Yin Zhiqiu Xu Zhiyuan Li Trevor Darrell Zhuang Liu 23 1 0 09 Nov 2023
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments William Ravenscroft Stefan Goetze Thomas Hain 28 7 0 09 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 41 0 0 29 Sep 2023
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations Mingtao Xia Xiangting Li Qijing Shen Tom Chou 11 0 0 28 Sep 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 19 9 0 31 Aug 2023
XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples Shorya Consul J. Robertson H. Vikalo MedIm 12 0 0 28 Aug 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 28 7 0 20 Jul 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao Xingjian Shi Boran Han Hongya Wang Xiaoyong Jin Danielle C. Maddix Yi Zhu Mu Li Bernie Wang BDL DiffM 23 55 0 19 Jul 2023
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks Benjamin Zalatan Maryam Rahnemoonfar AI4CE 27 4 0 22 Jun 2023
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning H. Qu M. Sako 11 5 0 19 May 2023
Understanding the Initial Condensation of Convolutional Neural Networks Zhangchen Zhou Hanxu Zhou Yuqing Li Zhi-Qin John Xu MLT AI4CE 18 5 0 17 May 2023
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families Benedikt Lutke Schwienhorst Lucas Kock David J. Nott Nadja Klein 6 1 0 11 May 2023
Attack Named Entity Recognition by Entity Boundary Interference Yifei Yang Hongqiu Wu Hai Zhao AAML 19 5 0 09 May 2023
Pre-training Language Model as a Multi-perspective Course Learner Beiduo Chen Shaohan Huang Zi-qiang Zhang Wu Guo Zhen-Hua Ling Haizhen Huang Furu Wei Weiwei Deng Qi Zhang 21 0 0 06 May 2023
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb Usha Lokala Orchid Chetia Phukan T. Dastidar Francois R. Lamy Raminta Daniulaityte Amit P. Sheth 21 3 0 20 Apr 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 21 5 0 14 Apr 2023
Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car Ivan Nasonov A. Galyaev Andrey V. Medvedev 13 0 0 12 Apr 2023
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval Trung-Nghia Le Tam V. Nguyen Minh-Quan Le Trong-Thuan Nguyen Viet-Tham Huynh ... Hoai-Danh Vo Minh H. Doan Hai-Dang Nguyen Akihiro Sugimoto M. Tran 3DV 52 4 0 12 Apr 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains M. A. Bashar R. Nayak G. Knapman Paul Turnbull C. Fforde 25 1 0 25 Mar 2023