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Designing and generating new data under targeted properties has been attracting various critical applications such as molecule design, image editing and speech synthesis.
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Using measured pka, logp and solubility to investigate supersaturation and predict bcs class
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Imagenet: A large-scale hierarchical image database
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Effect of higher minimum inhibitory concentrations of quaternary ammonium compounds in clinical e. coli isolates on antibiotic susceptibilities and clinical outcomes
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New Scientist
Tree-like giant is largest molecule ever made · 2011
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, et al · 2011
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The tourism forecasting competition
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Quantifying the chemical beauty of drugs
G Richard Bickerton, Gaia V Paolini, et al · 2012
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Zinc: a free tool to discover chemistry for biology
John J Irwin, Teague Sterling, et al · 2012
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Interactive facial feature localization
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Representing general relational knowledge in conceptnet 5
Robyn Speer, Catherine Havasi, et al · 2012
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A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition
Souhaib Ben Taieb, Gianluca Bontempi, et al · 2012
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Enumeration of 166 billion organic small molecules in the chemical universe database gdb-17
Lars Ruddigkeit, Ruud Van Deursen, et al · 2012
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Estimation of the size of drug-like chemical space based on gdb-17 data
Pavel G Polishchuk, Timur I Madzhidov, and Alexandre Varnek · 2013
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A review of urban transportation network design problems
Reza Zanjirani Farahani, Elnaz Miandoabchi, et al · 2013
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Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling
Greg Landrum et al · 2013
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, et al · 2013
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The blizzard challenge 2013–indian language task
Kishore Prahallad, Anandaswarup Vadapalli, et al · 2013
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Introducing the recola multimodal corpus of remote collaborative and affective interactions
Fabien Ringeval, Andreas Sonderegger, et al · 2013
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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A tutorial survey of architectures, algorithms, and applications for deep learning
Li Deng · 2014
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Semi-supervised learning with deep generative models
Durk P Kingma, Shakir Mohamed, et al · 2014
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Discovering hidden factors of variation in deep networks
Brian Cheung, Jesse A Livezey, et al · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, et al · 2014
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Autoencoder for words
Cheng-Yuan Liou, Wei-Chen Cheng, et al · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Quantum chemistry structures and properties of 134 kilo molecules
Raghunathan Ramakrishnan, Pavlo O Dral, et al · 2014
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One billion word benchmark for measuring progress in statistical language modeling
Ciprian Chelba, Tomas Mikolov, et al · 2014
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Jointly modeling aspects, ratings and sentiments for movie recommendation (jmars)
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Chinese poetry generation with recurrent neural networks
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Librivox: Free public domain audiobooks
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, et al · 2015
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Deep learning in neural networks: An overview
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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, et al · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, et al · 2015
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Image-based recommendations on styles and substitutes
Julian McAuley, Christopher Targett, et al · 2015
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Librispeech: an asr corpus based on public domain audio books
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ShapeNet: An Information-Rich 3D Model Repository
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Emerging memristor-based logic circuit design approaches: A review
Ioannis Vourkas and Georgios Ch Sirakoulis · 2016
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A logic circuit design for perfecting memristor-based material implication
Qiao Chen, Xiaoping Wang, et al · 2016
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The coming of age of de novo protein design
Po-Ssu Huang, Scott E Boyken, and David Baker · 2016
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An overview on data representation learning: From traditional feature learning to recent deep learning
Guoqiang Zhong, Li-Na Wang, et al · 2016
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A survey of inductive biases for factorial representation-learning
Karl Ridgeway · 2016
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Disentangling factors of variation in deep representation using adversarial training
Michael F Mathieu, Junbo Jake Zhao, et al · 2016
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Composing graphical models with neural networks for structured representations and fast inference
Matthew J Johnson, David K Duvenaud, et al · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, et al · 2016
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The siwis database: a multilingual speech database with acted emphasis
Jean-Philippe Goldman, Pierre-Edouard Honnet, et al · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, et al · 2016
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Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al · 2016
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, et al · 2017
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A survey of deep neural network architectures and their applications
Weibo Liu, Zidong Wang, et al · 2017
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Deep representation learning for human motion prediction and classification
Judith Butepage, Michael J Black, et al · 2017
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A hybrid deep representation learning model for time series classification and prediction
Yang Guo, Zhenyu Wu, and Yang Ji · 2017
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Recent progress of face image synthesis
Zhihe Lu, Zhihang Li, et al · 2017
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Deep learning for image-to-text generation: A technical overview
Xiaodong He and Li Deng · 2017
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Conditional image synthesis with auxiliary classifier gans
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg · 2017
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Real-valued (medical) time series generation with recurrent conditional gans
Cristóbal Esteban, Stephanie L Hyland, and Gunnar Rätsch · 2017
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Deep feature interpolation for image content changes
Paul Upchurch, Jacob Gardner, et al · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, et al · 2017
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Optimizing chemical reactions with deep reinforcement learning
Zhenpeng Zhou, Xiaocheng Li, and Richard N Zare · 2017
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Generative models and model criticism via optimized maximum mean discrepancy
Danica J Sutherland, Hsiao-Yu Tung, et al · 2017
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Bias and statistical significance in evaluating speech synthesis with mean opinion scores
Andrew Rosenberg and Bhuvana Ramabhadran · 2017
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Deep reinforcement learning: A brief survey
Kai Arulkumaran, Marc Peter Deisenroth, et al · 2017
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Optimizing distributions over molecular space. an objective-reinforced generative adversarial network for inverse-design chemistry (organic)
Benjamin Sanchez-Lengeling, Carlos Outeiral, et al · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, et al · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2017
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dsprites: Disentanglement testing sprites dataset
Loic Matthey, Irina Higgins, et al · 2017
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SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Daniel Cer and Mona et al. Diab · 2017
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Stylenet: Generating attractive visual captions with styles
Chuang Gan, Zhe Gan, et al · 2017
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The lj speech dataset
Keith Ito and Linda Johnson · 2017
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Jsut corpus: free large-scale japanese speech corpus for end-to-end speech synthesis
Ryosuke Sonobe, Shinnosuke Takamichi, and Hiroshi Saruwatari · 2017
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Findings of the 2017 conference on machine translation (wmt17)
Ondřej Bojar, Rajen Chatterjee, et al · 2017
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Graph convolutional policy network for goal-directed molecular graph generation
Jiaxuan You, Bowen Liu, et al · 2018
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Junction tree variational autoencoder for molecular graph generation
Wengong Jin, Regina Barzilay, and Tommi Jaakkola · 2018
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MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao and Thomas Kipf · 2018
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Long text generation via adversarial training with leaked information
Jiaxian Guo, Sidi Lu, et al · 2018
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Aag-stega: Automatic audio generation-based steganography
Zhongliang Yang, Xingjian Du, et al · 2018
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A survey on deep learning: Algorithms, techniques, and applications
Samira Pouyanfar, Saad Sadiq, et al · 2018
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Recurrent neural network model for constructive peptide design
Alex T Muller, Jan A Hiss, and Gisbert Schneider · 2018
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A survey of deep learning: Platforms, applications and emerging research trends
William Grant Hatcher and Wei Yu · 2018
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A survey on deep learning for big data
Qingchen Zhang, Laurence T Yang, et al · 2018
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Network representation learning: A survey
Daokun Zhang, Jie Yin, et al · 2018
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Deep generative models: Survey
Achraf Oussidi and Azeddine Elhassouny · 2018
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Semi-supervised fusedgan for conditional image generation
Navaneeth Bodla, Gang Hua, and Rama Chellappa · 2018
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Deep encoder-decoder models for unsupervised learning of controllable speech synthesis
Gustav Eje Henter, Jaime Lorenzo-Trueba, et al · 2018
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Learning deep generative models of graphs
Yujia Li, Oriol Vinyals, et al · 2018
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Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N Wei, et al · 2018
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Efficient generation of time series with diverse and controllable characteristics
Yanfei Kang, Rob J Hyndman, et al · 2018
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Data synthesis based on generative adversarial networks
Noseong Park, Mahmoud Mohammadi, et al · 2018
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Glow: Generative flow with invertible 1x1 convolutions
Durk P Kingma and Prafulla Dhariwal · 2018
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Generating multi-categorical samples with generative adversarial networks
Ramiro Camino, Christian Hammerschmidt, and Radu State · 2018
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Constrained generation of semantically valid graphs via regularizing variational autoencoders
Tengfei Ma, Jie Chen, and Cao Xiao · 2018
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Deep generative models with learnable knowledge constraints
Zhiting Hu, Zichao Yang, et al · 2018
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Reinforced adversarial neural computer for de novo molecular design
Evgeny Putin, Arip Asadulaev, et al · 2018
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Generating focused molecule libraries for drug discovery with recurrent neural networks
Marwin HS Segler, Thierry Kogej, et al · 2018
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Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, et al · 2018
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An application of generative adversarial networks for super resolution medical imaging
Rewa Sood, Binit Topiwala, et al · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, et al · 2018
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Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, et al · 2018
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Generating sentences by editing prototypes
Kelvin Guu, Tatsunori B Hashimoto, et al · 2018
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Graphvae: Towards generation of small graphs using variational autoencoders
Martin Simonovsky and Nikos Komodakis · 2018
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Graphrnn: Generating realistic graphs with deep auto-regressive models
Jiaxuan You, Rex Ying, et al · 2018
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Exploring deep recurrent models with reinforcement learning for molecule design
Daniel Neil, Marwin Segler, et al · 2018
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Latent molecular optimization for targeted therapeutic design
Tristan Aumentado-Armstrong · 2018
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Computational protein design with deep learning neural networks
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, et al · 2020
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Training generative adversarial networks with limited data
Tero Karras, Miika Aittala, et al · 2020
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A standardized project gutenberg corpus for statistical analysis of natural language and quantitative linguistics
Martin Gerlach and Francesc Font-Clos · 2020
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dmelodies: A music dataset for disentanglement learning
Ashis Pati, Siddharth Gururani, and Alexander Lerch · 2020
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Bureau of transportation statistics
FB Jacobini and JUS Dasher · 2020
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Mol-cyclegan: a generative model for molecular optimization
Łukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Tomasz Danel, and Michał Warchoł · 2020
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Deep learning for chemical reaction prediction
David Fooshee, Aaron Mood, et al · 2018
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Style transfer in text: Exploration and evaluation
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Deep voice 3: 2000-speaker neural text-to-speech
Wei Ping, Kainan Peng, et al · 2018
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Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
Jonathan Shen, Ruoming Pang, et al · 2018
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Disentangled sequential autoencoder
Yingzhen Li and Stephan Mandt · 2018
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3d shapes dataset
Chris Burgess and Hyunjik Kim · 2018
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Controllable person image synthesis with attribute-decomposed gan
Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, and Zhouhui Lian · 2020
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Towards unsupervised learning of generative models for 3d controllable image synthesis
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Deep plastic surgery: Robust and controllable image editing with human-drawn sketches
Shuai Yang, Zhangyang Wang, Jiaying Liu, and Zongming Guo · 2020
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Nearest neighbor machine translation
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis · 2020
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Intellicode compose: Code generation using transformer
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, and Neel Sundaresan · 2020
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Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, and Yonghui Wu · 2020
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Glow-tts: A generative flow for text-to-speech via monotonic alignment search
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Foley music: Learning to generate music from videos
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Deep generation of heterogeneous networks
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Representation learning on spatial networks
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Mars: Markov molecular sampling for multi-objective drug discovery
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Multi-objective optimization methods in novel drug design
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Property controllable variational autoencoder via invertible mutual dependence
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A causal lens for controllable text generation
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A survey on deep learning and its applications
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Anticancer peptides prediction with deep representation learning features
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A survey on concept factorization: From shallow to deep representation learning
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Deep generative models for synthetic data
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Deep graph generators: A survey
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A survey on multimodal deep learning for image synthesis: Applications, methods, datasets, evaluation metrics, and results comparison
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A survey on text generation using generative adversarial networks
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A survey on recent deep learning-driven singing voice synthesis systems
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A survey on neural speech synthesis
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Review of end-to-end speech synthesis technology based on deep learning
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A review of text style transfer using deep learning
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Comprehensive survey of recent drug discovery using deep learning
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Cpcgan: A controllable 3d point cloud generative adversarial network with semantic label generating
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Controllable and diverse text generation in e-commerce
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Gan-control: Explicitly controllable gans
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Ilvr: Conditioning method for denoising diffusion probabilistic models
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Graphebm: Molecular graph generation with energy-based models
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Closed-form factorization of latent semantics in gans
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Deep generative models for spatial networks
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Generating tertiary protein structures via interpretable graph variational autoencoders
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Is disentanglement enough? on latent representations for controllable music generation
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Deep latent-variable models for controllable molecule generation
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A distributional approach to controlled text generation
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Practical massively parallel monte-carlo tree search applied to molecular design
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Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
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Graphdf: A discrete flow model for molecular graph generation
Youzhi Luo, Keqiang Yan, and Shuiwang Ji · 2021
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Reinforcement learning for emotional text-to-speech synthesis with improved emotion discriminability
Rui Liu, Berrak Sisman, and Haizhou Li · 2021
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Controllable emotion transfer for end-to-end speech synthesis
Tao Li, Shan Yang, et al · 2021
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Generating syntactically controlled paraphrases without using annotated parallel pairs
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Prosodic features control by symbols as input of sequence-to-sequence acoustic modeling for neural tts
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Expressive text-to-speech using style tag
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Model architectures to extrapolate emotional expressions in dnn-based text-to-speech
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Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition
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Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
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Low-rank subspaces in gans
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Controllable cardiac synthesis via disentangled anatomy arithmetic
Spyridon Thermos, Xiao Liu, et al · 2021
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Changing the mind of transformers for topically-controllable language generation
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Controllable text-to-speech synthesis using prosodic features and emotion soft-label
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EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model
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Tg-gan: Continuous-time temporal graph deep generative models with time-validity constraints
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