Learning a Generative Model for Validity in Complex Discrete Structures

Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules

David Weininger · 1970

Earlier work this paper cites.

Learning internal representations by error propagation

David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams · 1985

Earlier work this paper cites.

Learning from delayed rewards

Christopher John Cornish Hellaby Watkins · 1989

Earlier work this paper cites.

Information-based objective functions for active data selection

David JC MacKay · 1992

Earlier work this paper cites.

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber · 1997

Earlier work this paper cites.

Reinforcement learning: An introduction , volume 1

Richard S Sutton and Andrew G Barto · 1998

Earlier work this paper cites.

Estimation of aqueous solubility for a diverse set of organic compounds based on molecular topology

Jarmo Huuskonen · 2000

Earlier work this paper cites.

Zinc- a free database of commercially available compounds for virtual screening

John J Irwin and Brian K Shoichet · 2005

Earlier work this paper cites.

Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines

Jenny Rose Finkel, Christopher D Manning, and Andrew Y Ng · 2006

Cited alongside, same era.

Bayesian active learning for classification and preference learning

Original

Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, and Máté Lengyel · 2011

Cited alongside, same era.

Auto-encoding variational bayes

Diederik P Kingma and Max Welling · 2013

Cited alongside, same era.

Learning phrase representations using rnn encoder–decoder for statistical machine translation

Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014

Cited alongside, same era.

Predictive entropy search for efficient global optimization of black-box functions

José Miguel Hernández-Lobato, Matthew W Hoffman, and Zoubin Ghahramani · 2014

Cited alongside, same era.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Original

Alec Radford, Luke Metz, and Soumith Chintala · 2015

Later among the works it cites.

Generating sentences from a continuous space

Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, and Samy Bengio · 2016

Later among the works it cites.

Noisy parallel approximate decoding for conditional recurrent language model

Original

Kyunghyun Cho · 2016

Later among the works it cites.

A theoretically grounded application of dropout in recurrent neural networks

Yarin Gal and Zoubin Ghahramani · 2016

Later among the works it cites.

Image style transfer using convolutional neural networks

Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016

Later among the works it cites.