---
title: "Other — papers, page 29"
description: "Other: 743 papers of the Elamur Research library · page 29 of 30 — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/other/page/29/"
---
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# 📦 Other

743 papers · page 29 of 30 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Works whose topics fit none of the fields above yet.

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- [Highway Networks](https://md.research.elamur.ai/free/en/papers/srivastava-2015-highway-networks/) — Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber · 2015
- [Microsoft COCO Captions: Data Collection and Evaluation Server](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/) — Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al. · 2015
- [Minimum Risk Training for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/shen-2015-minimum-risk-training-neural-machine/) — Shiqi Shen, Yong Cheng, Zhongjun He, et al. · 2015
- [Multi-task Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/) — Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al. · 2015
- [MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems](https://md.research.elamur.ai/free/en/papers/chen-2015-mxnet-flexible-efficient-machine-learning/) — Tianqi Chen, Mu Li, Yutian Li, et al. · 2015
- [Named Entity Recognition with Bidirectional LSTM-CNNs](https://md.research.elamur.ai/free/en/papers/chiu-2015-named-entity-recognition-bidirectional-lstm/) — Jason P. C. Chiu, Eric Nichols · 2015
- [On Using Monolingual Corpora in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gulcehre-2015-using-monolingual-corpora-neural-machine/) — Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al. · 2015
- [Reasoning about Entailment with Neural Attention](https://md.research.elamur.ai/free/en/papers/rocktaschel-2015-reasoning-about-entailment-neural-attention/) — Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al. · 2015
- [Sequence Level Training with Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/) — Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al. · 2015
- [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/) — Kelvin Xu, Jimmy Ba, Ryan Kiros, et al. · 2015
- [Teaching Machines to Read and Comprehend](https://md.research.elamur.ai/free/en/papers/hermann-2015-teaching-machines-read-comprehend/) — Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al. · 2015
- [The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/) — Felix Hill, Antoine Bordes, Sumit Chopra, et al. · 2015
- [The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lowe-2015-ubuntu-dialogue-corpus-large-dataset/) — Ryan Lowe, Nissan Pow, Iulian Serban, et al. · 2015
- [Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/) — Lora M. Aroyo, Chris Welty · 2015
- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://md.research.elamur.ai/free/en/papers/ronneberger-2015-u-net-convolutional-networks-biomedical/) — Olaf Ronneberger, Philipp Fischer, Thomas Brox · 2015
- [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](https://md.research.elamur.ai/free/en/papers/radford-2015-unsupervised-representation-learning-deep-convolutional/) — Alec Radford, Luke Metz, Soumith Chintala · 2015
- [Visual7W: Grounded Question Answering in Images](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/) — Yuke Zhu, Oliver Groth, Michael Bernstein, et al. · 2015
- [Visualizing and Understanding Recurrent Networks](https://md.research.elamur.ai/free/en/papers/karpathy-2015-visualizing-understanding-recurrent-networks/) — Andrej Karpathy, Justin Johnson, Li Fei-Fei · 2015
- [A Convolutional Neural Network for Modelling Sentences](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2014-convolutional-neural-network-modelling-sentences/) — Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom · 2014
- [Caffe: Convolutional Architecture for Fast Feature Embedding](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/) — Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al. · 2014
- [CIDEr: Consensus-based Image Description Evaluation](https://md.research.elamur.ai/free/en/papers/vedantam-2014-cider-consensus-based-image-description/) — Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh · 2014
- [Convolutional Neural Networks for Sentence Classification](https://md.research.elamur.ai/free/en/papers/kim-2014-convolutional-neural-networks-sentence-classification/) — Yoon Kim · 2014
- [Deep Speech: Scaling up end-to-end speech recognition](https://md.research.elamur.ai/free/en/papers/hannun-2014-deep-speech-scaling-up-end/) — Awni Hannun, Carl Case, Jared Casper, et al. · 2014
- [Deep Visual-Semantic Alignments for Generating Image Descriptions](https://md.research.elamur.ai/free/en/papers/karpathy-2014-deep-visual-semantic-alignments-generating/) — Andrej Karpathy, Li Fei-Fei · 2014
- [Distributed Representations of Sentences and Documents](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/) — Quoc V. Le, Tomas Mikolov · 2014

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