A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

16 December 2015

Papers citing "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

50 / 433 papers shown

Title
Compact Recurrent Transformer with Persistent Memory Edison Mucllari Z. Daniels David C. Zhang Qiang Ye CLL VLM 54 0 0 02 May 2025
FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Pulkit Agrawal Rukma Talwadker Aditya Pareek Tridib Mukherjee OffRL 32 0 0 30 Apr 2025
ReCoM: Realistic Co-Speech Motion Generation with Recurrent Embedded Transformer Yong Xie Yunlian Sun Hongwen Zhang Y. Liu Jinhui Tang VGen 103 0 0 27 Mar 2025
GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth M. Attaoui F. Pastore 51 0 0 20 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More Arvid Frydenlund LRM 58 0 0 13 Mar 2025
Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation Tianyi Zeng Tianyi Wang Junfeng Jiao Xinbo Chen AI4CE 84 0 0 28 Feb 2025
A Pipeline of Augmentation and Sequence Embedding for Classification of Imbalanced Network Traffic Matin Shokri Ramin Hasibi AI4TS 73 0 0 26 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data S. Muhammad Hossein Mousavi 44 1 0 19 Jan 2025
Learning charges and long-range interactions from energies and forces Dongjin Kim Daniel S. King Peichen Zhong Bingqing Cheng 95 5 0 19 Dec 2024
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature Sijia Zhou Xin Li 105 20 0 15 Dec 2024
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method Yidong Chai Kangwei Shi Jiaheng Xie Chunli Liu Yuanchun Jiang Yezheng Liu 71 0 0 07 Dec 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 21 1 0 12 Oct 2024
Uncertainty-aware Human Mobility Modeling and Anomaly Detection Haomin Wen Shurui Cao Z. Rasheed Khurram Hassan-Shafique Leman Akoglu 66 0 0 02 Oct 2024
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification Zhipeng Zheng Yuchen Jiang Shiyao Zhang Xuetao Wei 26 0 0 17 Aug 2024
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale Wei Gao Bo Ai Joel Loo Vinay David Hsu 49 1 0 03 Jul 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL Briti Gangopadhyay Zhao Wang Jia-Fong Yeh Shingo Takamatsu OffRL 32 0 0 11 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 41 0 0 30 May 2024
Uncertainty-boosted Robust Video Activity Anticipation Zhaobo Qi Shuhui Wang Weigang Zhang Qingming Huang 41 5 0 29 Apr 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure Zhiyue Zhang Yao Zhao Yan Xu 19 0 0 04 Apr 2024
Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT Aisha Khatun Anisur Rahman Md. Saiful Islam Hemayet Ahmed Chowdhury A. Tasnim 31 2 0 08 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 49 4 0 07 Mar 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models Changyu Chen Xiting Wang Ting-En Lin Ang Lv Yuchuan Wu Xin Gao Ji-Rong Wen Rui Yan Yongbin Li ReLM LRM 31 11 0 04 Mar 2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation Ming-Ru Wu Yufei Wang George F. Foster Lizhen Qu Gholamreza Haffari 43 6 0 27 Jan 2024
Dotless Representation of Arabic Text: Analysis and Modeling Maged S. Al-Shaibani Irfan Ahmad 22 0 0 26 Dec 2023
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer Kazuma Kobayashi Yasuyuki Takamizawa M. Miyake Sono Ito Lin Gu Tatsuya Nakatsuka Yu Akagi Tatsuya Harada Y. Kanemitsu Ryuji Hamamoto 38 2 0 15 Dec 2023
Advancing State of the Art in Language Modeling David Herel Tomáš Mikolov 34 1 0 28 Nov 2023
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets Yawen Guo Rachael Zehrung Katie Genuario Xuan Lu Qiaozhu Mei Yunan Chen Kai Zheng 17 1 0 20 Nov 2023
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments Ryo Ueda Tadahiro Taniguchi 35 2 0 08 Nov 2023
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves Jirí Navrátil Benjamin Elder Matthew Arnold Soumya Ghosh P. Sattigeri 24 0 0 04 Oct 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness Jiuhai Chen Jonas W. Mueller 46 56 0 30 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 37 40 0 28 Jul 2023
Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian Haoran Zhang Thomas Hartvigsen Ava P. Amini OOD EDL 44 0 0 25 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 32 11 0 12 Jul 2023
Last layer state space model for representation learning and uncertainty quantification Max H. Cohen M. Charbit Sylvain Le Corff UQCV BDL 30 1 0 04 Jul 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H.J. Terry Suh Glen Chou Hongkai Dai Lujie Yang Abhishek Gupta Russ Tedrake DiffM OffRL 39 7 0 24 Jun 2023
The Double Helix inside the NLP Transformer Jason H.J. Lu Qingzhe Guo 13 0 0 23 Jun 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan Fred Morstatter CML OOD 24 5 0 15 Jun 2023
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks Chaoyue Liu Amirhesam Abedsoltan M. Belkin NoLa 22 4 0 05 Jun 2023
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization S. S. Mondal Steven M. Frankland Taylor Webb Jonathan D. Cohen 47 1 0 28 May 2023
Extending Memory for Language Modelling A. Nugaliyadde KELM CLL VLM 16 0 0 19 May 2023
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks Collin Beaudoin Koustubh Phalak Swaroop Ghosh 48 0 0 17 May 2023
Structured Sentiment Analysis as Transition-based Dependency Parsing Daniel Fernández-González 42 1 0 09 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
DropDim: A Regularization Method for Transformer Networks Hao Zhang Dan Qu Kejia Shao Xu Yang 28 12 0 20 Apr 2023
Bayesian neural networks via MCMC: a Python-based tutorial Rohitash Chandra Royce Chen Joshua Simmons BDL 34 10 0 02 Apr 2023
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers Tianlong Chen Zhenyu Zhang Ajay Jaiswal Shiwei Liu Zhangyang Wang MoE 43 46 0 02 Mar 2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation Minghao Wu George F. Foster Lizhen Qu Gholamreza Haffari 24 19 0 16 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 23 6 0 13 Feb 2023