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 / 1,729 papers shown

Title
Improving Multimodal Learning Balance and Sufficiency through Data Remixing Xiaoyu Ma Hao Chen Yongjian Deng 17 0 0 13 Jun 2025
Speech Recognition on TV Series with Video-guided Post-Correction Haoyuan Yang Yue Zhang Liqiang Jing 20 0 0 08 Jun 2025
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan Ming Chen Ke Xue Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 15 0 0 08 Jun 2025
Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness S. Landgraf Markus Hillemann Markus Ulrich UQCV 57 0 0 06 Jun 2025
NetPress: Dynamically Generated LLM Benchmarks for Network Applications Yajie Zhou Jiajun Ruan Eric S. Wang Sadjad Fouladi Francis Y. Yan Kevin Hsieh Zaoxing Liu 27 0 0 03 Jun 2025
Drop Dropout on Single-Epoch Language Model Pretraining Houjun Liu John Bauer Christopher D. Manning LRM 23 0 0 30 May 2025
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique Shreyas Gururaj Lars Grüne Wojciech Samek Sebastian Lapuschkin Leander Weber 142 0 0 27 May 2025
Identifying Super Spreaders in Multilayer Networks Michał Czuba Mateusz Stolarski Adam Piróg Piotr Bielak Piotr Bródka 31 0 0 27 May 2025
Rotary Masked Autoencoders are Versatile Learners Uros Zivanovic Serafina Di Gioia Andre Scaffidi Martín de los Rios Gabriella Contardo R. Trotta 30 0 0 26 May 2025
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 143 0 0 20 May 2025
Analytic theory of dropout regularization Francesco Mori Francesca Mignacco 64 0 0 12 May 2025
On the Importance of Gaussianizing Representations Daniel Eftekhari Vardan Papyan 77 0 0 01 May 2025
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 70 0 0 01 May 2025
How Effective Can Dropout Be in Multiple Instance Learning ? Wenhui Zhu Peijie Qiu Xiwen Chen Zhangsihao Yang Aristeidis Sotiras Abolfazl Razi Yanjie Wang 95 0 0 21 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr Volkan Cevher AAML 168 2 0 17 Apr 2025
AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification Md. Sanaullah Chowdhury Lameya Sabrin VLM 59 0 0 17 Apr 2025
Knowledge Graph Completion with Mixed Geometry Tensor Factorization Viacheslav Yusupov Maxim Rakhuba Evgeny Frolov 140 0 0 03 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 124 1 0 27 Mar 2025
An Artificial Trend Index for Private Consumption Using Google Trends Juan Tenorio Heidi Alpiste Jakelin Remón Arian Segil 48 0 0 27 Mar 2025
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement Gaifan Zhang Yi Zhou Danushka Bollegala 522 0 0 21 Mar 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 57 1 0 07 Mar 2025
NoT: Federated Unlearning via Weight Negation Yasser H. Khalil Leo Maxime Brunswic Soufiane Lamghari Xu Li Mahdi Beitollahi Xi Chen MU 127 2 0 07 Mar 2025
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning Shijie Zhu Hui Zhao Tianshu Wu Pengjie Wang Hongbo Deng Jian Xu Bo Zheng 121 1 0 05 Mar 2025
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Andy Dong Wei-Ning Chen Ayfer Özgür FedML 115 1 0 04 Mar 2025
Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies Yuan-Chih Yang Hung-Hsuan Chen 52 1 0 27 Feb 2025
Forecasting Local Ionospheric Parameters Using Transformers D. J. Alford-Lago C. Curtis Alexander T. Ihler Katherine A. Zawdie Douglas P. Drob 90 0 0 24 Feb 2025
Brain-Model Evaluations Need the NeuroAI Turing Test Jenelle Feather Meenakshi Khosla N. Apurva Ratan Murty Aran Nayebi 156 6 0 22 Feb 2025
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text Andrei Jarca Florinel-Alin Croitoru Radu Tudor Ionescu 118 1 0 18 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 114 1 0 18 Feb 2025
Subjective Logic Encodings Jake Vasilakes Chrysoula Zerva Sophia Ananiadou 122 0 0 17 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 234 0 0 13 Feb 2025
mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition Andrew Rouditchenko Saurabhchand Bhati Samuel Thomas Hilde Kuehne Rogerio Feris 226 1 0 03 Feb 2025
A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification Younes Yousef Lukas Galke A. Scherp 118 0 0 23 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 488 0 0 14 Jan 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence Qianren Mao Weifeng Jiang Qingbin Liu Chenghua Lin Qian Li Xianqing Wen Jianxin Li Jinhu Lu 108 0 0 01 Dec 2024
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training Ameera Bawazir Kebin Wu Wenbin Li CLIP 106 1 0 20 Nov 2024
Random Token Fusion for Multi-View Medical Diagnosis Jingyu Guo Christos Matsoukas Fredrik Strand Kevin Smith MedIm 50 0 0 21 Oct 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving Di Zeng Ling Zheng Xiantong Yang Yinong Li 50 0 0 21 Oct 2024
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 151 10 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 131 3 0 15 Oct 2024
Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes Ralf Meyer Daniel B K Chu Heather J. Kulik 34 1 0 12 Oct 2024
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making Denys J. C. Matthies Ruben Schlonsak Hanzhi Zhuang Rui Song 60 0 0 30 Sep 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 94 0 0 29 Sep 2024
Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach Muhammad Dany Alfikri Rafael Kaliski 35 1 0 24 Sep 2024
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models Morris de Haan Philipp Hager 46 0 0 18 Sep 2024
Learning-accelerated A* Search for Risk-aware Path Planning Jun Xiang Junfei Xie Jun Chen 47 4 0 18 Sep 2024
Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks W. Bauer Marta Zagórowska J. Baranowski 23 0 0 12 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 113 1 0 11 Sep 2024
Y-Drop: A Conductance based Dropout for fully connected layers Efthymios Georgiou Georgios Paraskevopoulos Alexandros Potamianos 82 0 0 11 Sep 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 72 0 0 05 Sep 2024