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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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1
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
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1
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Neural Machine Translation by Jointly Learning to Align and Translate
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2014
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Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
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1
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Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
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2016
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Matthieu Courbariaux
Itay Hubara
Daniel Soudry
Ran ElâYaniv
Yoshua Bengio
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1
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
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2016
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Christopher Choy
Danfei Xu
JunYoung Gwak
Kai Chen
Silvio Savarese
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1
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Overcoming catastrophic forgetting in neural networks
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2017
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James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka GrabskaâBarwiĆska
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1
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Get To The Point: Summarization with Pointer-Generator Networks
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2017
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Abigail See
Peter J. Liu
Christopher D. Manning
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1
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Toward Controlled Generation of Text
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2017
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Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric P. Xing
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1
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Lifelong Learning with Dynamically Expandable Networks
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2017
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Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
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1
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Variational Continual Learning
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2017
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Cuong V. Nguyen
Yingzhen Li
Thang D. Bui
Richard E. Turner
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1
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Continual Reinforcement Learning with Complex Synapses
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2018
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Christos Kaplanis
Murray Shanahan
Claudia Clopath
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1
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AllenNLP: A Deep Semantic Natural Language Processing Platform
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2018
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Matt Gardner
Joël Grus
Mark E Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
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1
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End-to-End Incremental Learning
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2018
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Francisco M. Castro
Manuel J. MarĂnâJimĂ©nez
NicolĂĄs Guil
Cordelia Schmid
Karteek Alahari
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1
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Learning to Reconstruct Shapes from Unseen Classes
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2018
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Xiuming Zhang
Zhoutong Zhang
Chengkai Zhang
Joshua B. Tenenbaum
William T. Freeman
Jiajun Wu
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1
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Efficient Lifelong Learning with A-GEM
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2018
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Arslan Chaudhry
MarcâAurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
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1
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Exploring the Challenges Towards Lifelong Fact Learning
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2019
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Mohamed Elhoseiny
Francesca Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
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1
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A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
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2019
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Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
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1
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What Do Single-View 3D Reconstruction Networks Learn?
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2019
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Maxim Tatarchenko
Stephan R. Richter
René Ranftl
Zhuwen Li
Vladlen Koltun
Thomas Brox
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1
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Controllable Paraphrase Generation with a Syntactic Exemplar
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2019
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Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
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1
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Syntactically Supervised Transformers for Faster Neural Machine Translation
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2019
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Nader Akoury
Kalpesh Krishna
Mohit Iyyer
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1
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Similarity of Neural Network Representations Revisited
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2019
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Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
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1
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Understanding intermediate layers using linear classifier probes
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2016
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Guillaume Alain
Yoshua Bengio
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1
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Large Scale Incremental Learning
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2019
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Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Yun Fu
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1
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Neural Machine Translation of Rare Words with Subword Units
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2016
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Rico Sennrich
Barry Haddow
Alexandra Birch
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1
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Continuous learning in single-incremental-task scenarios
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2019
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Davide Maltoni
Vincenzo Lomonaco
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1
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Syntax-Infused Variational Autoencoder for Text Generation
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2019
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Xinyuan Zhang
Yi Yang
Siyang Yuan
Dinghan Shen
Lawrence Carin
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1
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Learning to Reconstruct Shapes from Unseen Classes
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2018
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Xiuming Zhang
Zhoutong Zhang
Chengkai Zhang
Josh Tenenbaum
Bill Freeman
Jiajun Wu
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1
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Continual Learning with Deep Generative Replay
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2017
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Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
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1
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Memory Aware Synapses: Learning What (not) to Forget
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2018
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Rahaf Aljundi
Francesca Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
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1
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Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
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2018
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Juncen Li
Robin Jia
He He
Percy Liang
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1
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Insights on representational similarity in neural networks with canonical correlation
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2018
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Ari S. Morcos
Maithra Raghu
Samy Bengio
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1
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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2017
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Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
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1
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Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
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2017
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Huadong Chen
Shujian Huang
David Chiang
Jiajun Chen
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1
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Occupancy Networks: Learning 3D Reconstruction in Function Space
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2019
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Lars Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
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1
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Style Transfer in Text: Exploration and Evaluation
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2018
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Zhenxin Fu
Xiaoye Tan
Nanyun Peng
Dongyan Zhao
Rui Yan
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1
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Reinforced Continual Learning
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2018
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Ju Xu
Zhanxing Zhu
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1
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iCaRL: Incremental Classifier and Representation Learning
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2017
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Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
Georg Sperl
Christoph H. Lampert
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1
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A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation
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2019
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Su Wang
Rahul Gupta
Nancy Chang
Jason Baldridge
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1
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
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2018
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John Wieting
Kevin Gimpel
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1
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Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction
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2018
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Daeyun Shin
Charless C. Fowlkes
Derek Hoiem
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1
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Continual Unsupervised Representation Learning.
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2019
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Dushyant Rao
Francesco Visin
Andrei Rusu
Razvan Pascanu
Yee Whye Teh
Raia Hadsell
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1
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DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
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2019
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Qiangeng Xu
Weiyue Wang
Duygu Ceylan
RadomĂr MÄch
Ulrich Neumann
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1
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Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
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2019
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Ke Wang
Hang Hua
Xiaojun Wan
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1
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Generative Models from the perspective of Continual Learning
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2019
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Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia-Ortiz
Andrei Stoian
David Filliat
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1
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Task-Free Continual Learning
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2019
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Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
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1
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Understanding Image Representations by Measuring Their Equivariance and Equivalence
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2018
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Karel Lenc
Andrea Vedaldi
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1
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Incremental Learning Techniques for Semantic Segmentation
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2019
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Umberto Michieli
Pietro Zanuttigh
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1
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Class-incremental Learning via Deep Model Consolidation
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2020
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Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Ćerafettin TaĆcı
Larry Heck
Heming Zhang
C.âC. Jay Kuo
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1
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Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
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2020
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Noé Casas
José A. R. Fonollosa
Marta R. CostaâjussĂ
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1
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Small-Task Incremental Learning.
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2020
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Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
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1
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