Deep Learning of Representations: Looking Forward

2 May 2013

Papers citing "Deep Learning of Representations: Looking Forward"

50 / 197 papers shown

Title
Analysis of Branch Specialization and its Application in Image Decomposition Jonathan Brokman Guy Gilboa 10 2 0 12 Jun 2022
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 32 47 0 06 Jun 2022
Towards Robust Unsupervised Disentanglement of Sequential Data -- A Case Study Using Music Audio Yin-Jyun Luo Sebastian Ewert S. Dixon CoGe 21 12 0 12 May 2022
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification Qi-Shi Shi Ponnuthurai Nagaratnam Suganthan Rakesh Katuwal 6 22 0 15 Jan 2022
Encoding Causal Macrovariables Benedikt Höltgen CML 17 3 0 29 Nov 2021
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data M. Espadoto G. Appleby Ashley Suh Dylan Cashman Mingwei Li C. Scheidegger Erik W. Anderson Remco Chang A. Telea 18 20 0 02 Nov 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL S. Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 12 2 0 29 Oct 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 27 3 0 07 Oct 2021
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts Zhengyan Zhang Yankai Lin Zhiyuan Liu Peng Li Maosong Sun Jie Zhou MoE 27 117 0 05 Oct 2021
Designing Complex Experiments by Applying Unsupervised Machine Learning A. Glushkovsky 19 0 0 29 Sep 2021
Entity Linking Meets Deep Learning: Techniques and Solutions Wei Shen Yuhan Li Yinan Liu Jiawei Han Jianyong Wang Xiaojie Yuan 46 52 0 26 Sep 2021
Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear A. Gupta Laurence Aitchison Nathan Lepora 24 6 0 08 Sep 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 21 55 0 17 Aug 2021
Go Wider Instead of Deeper Fuzhao Xue Ziji Shi Futao Wei Yuxuan Lou Yong Liu Yang You ViT MoE 25 80 0 25 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 13 65 0 29 Jun 2021
CPM-2: Large-scale Cost-effective Pre-trained Language Models Zhengyan Zhang Yuxian Gu Xu Han Shengqi Chen Chaojun Xiao ... Minlie Huang Wentao Han Yang Liu Xiaoyan Zhu Maosong Sun MoE 37 86 0 20 Jun 2021
Scaling Vision with Sparse Mixture of Experts C. Riquelme J. Puigcerver Basil Mustafa Maxim Neumann Rodolphe Jenatton André Susano Pinto Daniel Keysers N. Houlsby MoE 17 575 0 10 Jun 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets Lan Zhang Victor Prokhorov Ehsan Shareghi CoGe DRL 16 3 0 07 Jun 2021
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation Zhixing Tan Zeyuan Yang Meng Zhang Qun Liu Maosong Sun Yang Liu AI4CE 17 4 0 14 May 2021
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis R. Acharya F. Ganji Domenic Forte AAML 38 24 0 30 Apr 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 24 7 0 12 Apr 2021
A Practical Survey on Faster and Lighter Transformers Quentin Fournier G. Caron Daniel Aloise 14 93 0 26 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement A. Ross Finale Doshi-Velez DRL 21 13 0 09 Feb 2021
Concepts, Properties and an Approach for Compositional Generalization Yuanpeng Li OCL CoGe 14 0 0 08 Feb 2021
Frequency Consistent Adaptation for Real World Super Resolution Xiaozhong Ji Guan Tao Yun Cao Ying Tai Tong Lu Chengjie Wang Jilin Li Feiyue Huang 21 10 0 18 Dec 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 17 5 0 25 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 19 6 0 24 Nov 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation Thomas Verelst Tinne Tuytelaars SSeg 10 16 0 24 Nov 2020
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition Elnaz Soleimani G. Khodabandelou A. Chibani Y. Amirat 28 1 0 11 Nov 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers Alex Lamb Anirudh Goyal A. Slowik Michael C. Mozer Philippe Beaudoin Yoshua Bengio 9 3 0 15 Oct 2020
Improving Nonparametric Density Estimation with Tensor Decompositions Robert A. Vandermeulen 6 6 0 06 Oct 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 26 39 0 29 Sep 2020
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts TrungTin Nguyen Hien Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 21 2 0 22 Sep 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William S. Peebles John Peebles Jun-Yan Zhu Alexei A. Efros Antonio Torralba 27 114 0 24 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 19 9 0 16 Aug 2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability Avinash Kori Parth Natekar Ganapathy Krishnamurthi Balaji Srinivasan 18 8 0 14 Aug 2020
The pursuit of beauty: Converting image labels to meaningful vectors S. Karatsiolis A. Kamilaris 13 0 0 03 Aug 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 25 332 0 01 Jul 2020
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors Sarthak Bhagat Vishaal Udandarao Shagun Uppal CoGe SSL DRL 6 6 0 10 Jun 2020
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis Lazhar Khelifi M. Mignotte 28 259 0 10 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 30 0 0 29 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 156 0 25 May 2020
Symbolic Pregression: Discovering Physical Laws from Distorted Video S. Udrescu Max Tegmark 13 40 0 19 May 2020
Data Augmentation for Deep Candlestick Learner Chia-Ying Tsao Jun-Hao Chen Samuel Yen-Chi Chen Yun-Cheng Tsai 6 1 0 14 May 2020
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF Hanbaek Lyu Christopher Strohmeier G. Menz Deanna Needell 11 10 0 20 Apr 2020
AI Giving Back to Statistics? Discovery of the Coordinate System of Univariate Distributions by Beta Variational Autoencoder A. Glushkovsky DRL 6 3 0 06 Apr 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 46 146 0 21 Feb 2020
Recognizing Video Events with Varying Rhythms Yikang Li Tianshu Yu Baoxin Li 14 4 0 14 Jan 2020
Block-wise Dynamic Sparseness Amir Hadifar Johannes Deleu Chris Develder Thomas Demeester 14 2 0 14 Jan 2020