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We consider the learning of algorithmic tasks by mere observation of input-output pairs.
On the convex hull of random points in a polytope
Dwyer, Rex A · 1988
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An on-line graph coloring algorithm with sublinear performance ratio
Lovász, László, Saks, Michael, and Trotter, William T · 1989
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The induction of dynamical recognizers
Pollack, Jordan B · 1991
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Context-free parsing in connectionist networks
Fanty, Mark · 1994
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Long short-term memory
Hochreiter, Sepp and Schmidhuber, Jürgen · 1997
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Dynamic programming and strong bounds for the 0-1 knapsack problem
Martello, Silvano, Pisinger, David, and Toth, Paolo · 1999
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Fractal encoding of context-free grammars in connectionist networks
Tabor, Whitney · 2000
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An effective implementation of K-opt moves for the Lin-Kernighan TSP heuristic
Helsgaun, Keld · 2006
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The graph neural network model
Scarselli, Franco, Gori, Marco, Tsoi, Ah Chung, Hagenbuchner, Markus, and Monfardini, Gabriele · 2009
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Neural machine translation by jointly learning to align and translate
Bahdanau, Dzmitry, Cho, Kyunghyun, and Bengio, Yoshua · 2014
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Graves, Alex, Wayne, Greg, and Danihelka, Ivo · 2014
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Sequence to sequence learning with neural networks
Sutskever, Ilya, Vinyals, Oriol, and Le, Quoc V · 2014
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Weston, Jason, Chopra, Sumit, and Bordes, Antoine · 2014
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Zaremba, Wojciech and Sutskever, Ilya · 2014
Cited alongside, same era.
Convolutional networks on graphs for learning molecular fingerprints
Duvenaud, David, Maclaurin, Dougal, Aguilera-Iparraguirre, Jorge, Gómez-Bombarelli, Rafael, Hirzel, Timothy, Aspuru-Guzik, Alán, and Adams, Ryan P · 2015
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Reinforcement learning neural turing machines-revised
Zaremba, Wojciech and Sutskever, Ilya · 2015
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Learning efficient algorithms with hierarchical attentive memory
Andrychowicz, Marcin and Kurach, Karol · 2016
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Neural combinatorial optimization with reinforcement learning
Bello, Irwan, Pham, Hieu, Le, Quoc V, Norouzi, Mohammad, and Bengio, Samy · 2016
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Geometric deep learning: going beyond euclidean data
Bronstein, Michael M, Bruna, Joan, LeCun, Yann, Szlam, Arthur, and Vandergheynst, Pierre · 2016
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Molecular graph convolutions: moving beyond fingerprints
Kearnes, Steven, McCloskey, Kevin, Berndl, Marc, Pande, Vijay, and Riley, Patrick · 2016
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Learning to transduce with unbounded memory
Grefenstette, Edward, Hermann, Karl Moritz, Suleyman, Mustafa, and Blunsom, Phil · 2015
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Inferring algorithmic patterns with stack-augmented recurrent nets
Joulin, Armand and Mikolov, Tomas · 2015
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Kaiser, Łukasz and Sutskever, Ilya · 2015
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Neural programmer-interpreters
Reed, Scott and de Freitas, Nando · 2015
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End-to-end memory networks
Sukhbaatar, Sainbayar, Szlam, Arthur, Weston, Jason, and Fergus, Rob · 2015
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Order matters: Sequence to sequence for sets
Vinyals, Oriol, Bengio, Samy, and Kudlur, Manjunath
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Pointer networks
Vinyals, Oriol, Fortunato, Meire, and Jaitly, Navdeep
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Making neural programming architectures generalize via recursion
Cai, Jonathon, Shin, Richard, and Dawn, Song · 2017
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Learning combinatorial optimization algorithms over graphs
Dai, Hanjun, Khalil, Elias B, Zhang, Yuyu, Dilkina, Bistra, and Song, Le · 2017
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Neural message passing for quantum chemistry
Gilmer, Justin, Schoenholz, Samuel S, Riley, Patrick F, Vinyals, Oriol, and Dahl, George E · 2017
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A note on learning algorithms for quadratic assignment with graph neural networks
Nowak, Alex, Villar, Soledad, Bandeira, Afonso S, and Bruna, Joan · 2017
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