--- title: "Other — papers, page 26" description: "Other: 743 papers of the Elamur Research library · page 26 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/26/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/26/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Other](https://md.research.elamur.ai/free/en/shelves/other/) / page 26 # 📦 Other 743 papers · page 26 of 30 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Works whose topics fit none of the fields above yet. [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/25/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [25](https://md.research.elamur.ai/free/en/shelves/other/page/25/) **26** [27](https://md.research.elamur.ai/free/en/shelves/other/page/27/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/27/) - [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://md.research.elamur.ai/free/en/papers/howard-2017-mobilenets-efficient-convolutional-neural-networks/) — Andrew G. Howard, Menglong Zhu, Bo Chen, et al. · 2017 - [Neural Message Passing for Quantum Chemistry](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/) — Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al. · 2017 - [Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-non-autoregressive-neural-machine-translation/) — Jiatao Gu, James Bradbury, Caiming Xiong, et al. · 2017 - [Offline bilingual word vectors, orthogonal transformations and the inverted softmax](https://md.research.elamur.ai/free/en/papers/smith-2017-offline-bilingual-word-vectors-orthogonal/) — Samuel L. Smith, David H. P. Turban, Steven Hamblin, et al. · 2017 - [Regularizing and Optimizing LSTM Language Models](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/) — Stephen Merity, Nitish Shirish Keskar, Richard Socher · 2017 - [Regularizing Neural Networks by Penalizing Confident Output Distributions](https://md.research.elamur.ai/free/en/papers/pereyra-2017-regularizing-neural-networks-penalizing-confident/) — Gabriel Pereyra, George Tucker, Jan Chorowski, et al. · 2017 - [SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine](https://md.research.elamur.ai/free/en/papers/dunn-2017-searchqa-new-q-dataset-augmented/) — Matthew Dunn, Levent Sagun, Mike Higgins, et al. · 2017 - [Semi-supervised sequence tagging with bidirectional language models](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/) — Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al. · 2017 - [Simple and Effective Multi-Paragraph Reading Comprehension](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/) — Christopher Clark, Matt Gardner · 2017 - [Toward Controlled Generation of Text](https://md.research.elamur.ai/free/en/papers/hu-2017-toward-controlled-generation-text/) — Zhiting Hu, Zichao Yang, Xiaodan Liang, et al. · 2017 - [Towards A Rigorous Science of Interpretable Machine Learning](https://md.research.elamur.ai/free/en/papers/doshi-2017-velez-towards-rigorous-science-interpretable-machine/) — Finale Doshi-Velez, Been Kim · 2017 - [Towards Deep Learning Models Resistant to Adversarial Attacks](https://md.research.elamur.ai/free/en/papers/madry-2017-towards-deep-learning-models-resistant/) — Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al. · 2017 - [Understanding Black-box Predictions via Influence Functions](https://md.research.elamur.ai/free/en/papers/koh-2017-understanding-black-box-predictions-influence/) — Pang Wei Koh, Percy Liang · 2017 - [Unsupervised Machine Translation Using Monolingual Corpora Only](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/) — Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al. · 2017 - [What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?](https://md.research.elamur.ai/free/en/papers/kendall-2017-uncertainties-need-bayesian-deep-learning/) — Alex Kendall, Yarin Gal · 2017 - ["Why Should I Trust You?": Explaining the Predictions of Any Classifier](https://md.research.elamur.ai/free/en/papers/ribeiro-2016-why-should-i-trust-explaining/) — Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin · 2016 - [A Diagram Is Worth A Dozen Images](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/) — Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al. · 2016 - [A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues](https://md.research.elamur.ai/free/en/papers/serban-2016-hierarchical-latent-variable-encoder-decoder/) — Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al. · 2016 - [A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/) — Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al. · 2016 - [A Persona-Based Neural Conversation Model](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/) — Jiwei Li, Michel Galley, Chris Brockett, et al. · 2016 - [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/) — Danqi Chen, Jason Bolton, Christopher D. Manning · 2016 - [Adversarial Training Methods for Semi-Supervised Text Classification](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/) — Takeru Miyato, Andrew M. Dai, Ian Goodfellow · 2016 - [An Actor-Critic Algorithm for Sequence Prediction](https://md.research.elamur.ai/free/en/papers/bahdanau-2016-actor-critic-algorithm-sequence-prediction/) — Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al. · 2016 - [Bidirectional Attention Flow for Machine Comprehension](https://md.research.elamur.ai/free/en/papers/seo-2016-bidirectional-attention-flow-machine-comprehension/) — Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al. · 2016 - [Categorical Reparameterization with Gumbel-Softmax](https://md.research.elamur.ai/free/en/papers/jang-2016-categorical-reparameterization-gumbel-softmax/) — Eric Jang, Shixiang Gu, Ben Poole · 2016 [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/25/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [25](https://md.research.elamur.ai/free/en/shelves/other/page/25/) **26** [27](https://md.research.elamur.ai/free/en/shelves/other/page/27/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/27/)