Set-to-Sequence Methods in Machine Learning: a Review

17 March 2021

Papers citing "Set-to-Sequence Methods in Machine Learning: a Review"

36 / 36 papers shown

Title
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 87 645 0 09 Feb 2021
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering Yuxiang Wu Sebastian Riedel Pasquale Minervini Pontus Stenetorp 42 8 0 10 Nov 2020
Conditional Set Generation with Transformers Adam R. Kosiorek Hyunjik Kim Danilo Jimenez Rezende 71 40 0 26 Jun 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 212 844 0 26 Jun 2020
Deep Sets for Generalization in RL Tristan Karch Cédric Colas Laetitia Teodorescu Clément Moulin-Frier Pierre-Yves Oudeyer OffRL AI4CE 16 6 0 20 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 288 236 0 16 Mar 2020
Theoretical Limitations of Self-Attention in Neural Sequence Models Michael Hahn 49 269 0 16 Jun 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 117 110 0 15 Jun 2019
Learning robust visual representations using data augmentation invariance Alex Hernández-García Peter König Tim C Kietzmann OOD 41 10 0 11 Jun 2019
An Attentive Survey of Attention Models S. Chaudhari Varun Mithal Gungor Polatkan R. Ramanath 124 652 0 05 Apr 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 53 173 0 21 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 122 1,319 0 26 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 196 3,724 0 09 Jan 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,377 0 15 Nov 2018
An Introductory Survey on Attention Mechanisms in NLP Problems Dichao Hu AIMat 57 247 0 12 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 97 190 0 05 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 218 7,623 0 01 Oct 2018
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction Bo Yang Sen Wang Andrew Markham Niki Trigoni 3DPC 3DV 70 140 0 02 Aug 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 112 1,202 0 22 Mar 2018
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 257 4,014 0 14 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 103 1,460 0 05 Apr 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 287 2,367 0 20 Dec 2016
Few-Shot Object Recognition from Machine-Labeled Web Images Zhongwen Xu Linchao Zhu Yi Yang VLM 38 66 0 19 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 450 14,264 0 02 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 143 1,483 0 29 Nov 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 268 2,844 0 26 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 342 10,467 0 21 Jul 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 68 427 0 07 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 118 2,151 0 17 May 2016
Learning rotation invariant convolutional filters for texture classification Diego Marcos Michele Volpi D. Tuia 64 148 0 22 Apr 2016
Adaptive Computation Time for Recurrent Neural Networks Alex Graves 88 6 0 29 Mar 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 115 3,048 0 09 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 318 10,050 0 10 Feb 2015
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 145 1,705 0 15 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 509 27,263 0 01 Sep 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 103 1,317 0 17 Apr 2014