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A Call for Clarity in Beam Search: How It Works and When It Stops

11 April 2022

Keisuke Sakaguchi

Yejin Choi

Papers citing "A Call for Clarity in Beam Search: How It Works and When It Stops"

26 / 126 papers shown

Title
Faster Kernel Ridge Regression Using Sketching and Preconditioning H. Avron K. Clarkson David P. Woodruff 87 125 0 10 Nov 2016
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 96 222 0 28 Oct 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 75 273 0 20 Oct 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 343 2,900 0 26 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 316 8,174 0 16 Jun 2016
Sequence-to-Sequence Learning as Beam-Search Optimization Sam Wiseman Alexander M. Rush 138 594 0 09 Jun 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond Ramesh Nallapati Bowen Zhou Cicero Nogueira dos Santos Çağlar Gülçehre Bing Xiang AIMat 281 2,567 0 19 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 307 5,536 0 23 Nov 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 235 7,760 0 31 Aug 2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu Ryan Kiros R. Zemel Ruslan Salakhutdinov R. Urtasun Antonio Torralba Sanja Fidler 136 2,555 0 22 Jun 2015
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 355 3,553 0 10 Jun 2015
Learning to Transduce with Unbounded Memory Edward Grefenstette Karl Moritz Hermann Mustafa Suleyman Phil Blunsom 98 297 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,745 0 09 Mar 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets Armand Joulin Tomas Mikolov TPM 144 412 0 03 Mar 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 87 166 0 29 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Fast Function to Function Regression Junier Oliva Willie Neiswanger Barnabás Póczós Eric Xing J. Schneider 39 32 0 27 Oct 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 111 2,333 0 20 Oct 2014
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 149 1,709 0 15 Oct 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 448 20,606 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 578 27,338 0 01 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 95 445 0 13 Aug 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014
High-dimensional sequence transduction Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent AI4TS 200 69 0 09 Dec 2012
Sequence Transduction with Recurrent Neural Networks Alex Graves 195 1,872 0 14 Nov 2012
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 158 1,490 0 01 Dec 2009