Dive into Deep Learning

21 June 2021

Papers citing "Dive into Deep Learning"

39 / 39 papers shown

Title
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models Hengyu Lin AI4CE 26 0 0 04 Apr 2025
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder Sina Saadati Mohammadreza Razzazi 26 0 0 30 Aug 2024
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition Sergio Y. Hayashi N. Hirata 54 0 0 23 Apr 2024
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge H. R. Medeiros Masih Aminbeidokhti F. Guerrero-Peña David Latortue Eric Granger M. Pedersoli VLM 45 2 0 01 Apr 2024
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting David Latortue Moetez Kdayem F. Guerrero-Peña Eric Granger M. Pedersoli 21 0 0 20 Nov 2023
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification Utsav Nareti Chandranath Adak Soumiki Chattopadhyay 19 0 0 21 Sep 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore V. W. Anelli F. Narducci T. D. Noia E. Sciascio ALM 46 27 0 07 Sep 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 42 6 0 21 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 39 73 0 07 Jun 2023
The Deep Promotion Time Cure Model Victor Medina-Olivares Stefan Lessmann Nadja Klein 16 0 0 19 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 32 0 29 Apr 2023
Improving deep learning precipitation nowcasting by using prior knowledge M. Choma Petr Simánek Jakub Bartel 34 0 0 27 Jan 2023
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19 Breno Krohling R. Krohling 9 4 0 24 Jan 2023
Towards Single Camera Human 3D-Kinematics Marian Bittner Wei-Tse Yang Xucong Zhang A. Seth J. C. V. Gemert F. Helm 3DH 28 16 0 13 Jan 2023
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 31 1 0 09 Dec 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data Dario Coscia L. Meneghetti N. Demo G. Stabile G. Rozza 16 8 0 24 Oct 2022
LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models A. Konstantinov Lev V. Utkin 36 0 0 11 Oct 2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest Lev V. Utkin A. Ageev A. Konstantinov 41 6 0 05 Oct 2022
An Application to Generate Style Guided Compatible Outfit Debopriyo Banerjee Harsh Maheshwari Lucky Dhakad Arnab Bhattacharya Niloy Ganguly M. Chelliah Suyash Agarwal 16 0 0 02 May 2022
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models Yiling Luo X. Huo Y. Mei 16 0 0 29 Apr 2022
Adversarial attacks on an optical neural network Shuming Jiao Z. Song S. Xiang AAML 19 2 0 29 Apr 2022
A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures Alexander Henkes I. Caylak R. Mahnken 27 18 0 26 Oct 2021
A survey on deep learning approaches for breast cancer diagnosis Timothy C. H. Kwong S. Mazaheri MedIm 22 4 0 18 Sep 2021
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics Kaan Gokcesu Hakan Gokcesu 19 59 0 28 Aug 2021
Fast Evaluation of Smooth Distance Constraints on Co-Dimensional Geometry A. Madan David I. W. Levin 17 4 0 24 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared Angela F. Gao B. Rasmussen Peter Kulits E. Scheller R. Greenberger B. Ehlmann 13 17 0 24 Jun 2021
Combination of Convolutional Neural Network and Gated Recurrent Unit for Energy Aware Resource Allocation Zeinab Khodaverdian H. Sadr S. A. Edalatpanah Mojdeh Nazari Solimandarabi 15 8 0 23 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Differentiable Programming à la Moreau Vincent Roulet Zaïd Harchaoui 15 5 0 31 Dec 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 19 29 0 18 Sep 2020
Looking for change? Roll the Dice and demand Attention F. Diakogiannis F. Waldner P. Caccetta 19 66 0 04 Sep 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 223 0 01 Feb 2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo He He Tong He Leonard Lausen Mu Li ... Hang Zhang Zhi-Li Zhang Zhongyue Zhang Shuai Zheng Yi Zhu VLM BDL 27 194 0 09 Jul 2019
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 224 348 0 14 Jun 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014