Eshan-Agarwal

{
  "citation": "@inproceedings{KhoslaYaoJayadevaprakashFeiFei_FGVC2011,\nauthor = \"Aditya Khosla and Nityananda Jayadevaprakash and Bangpeng Yao and\n          Li Fei-Fei\",\ntitle = \"Novel Dataset for Fine-Grained Image Categorization\",\nbooktitle = \"First Workshop on Fine-Grained Visual Categorization,\n             IEEE Conference on Computer Vision and Pattern Recognition\",\nyear = \"2011\",\nmonth = \"June\",\naddress = \"Colorado Springs, CO\",\n}\n@inproceedings{imagenet_cvpr09,\n        AUTHOR = {Deng, J. and Dong, W. and Socher, R. and Li, L.-J. and\n                  Li, K. and Fei-Fei, L.},\n        TITLE = {{ImageNet: A Large-Scale Hierarchical Image Database}},\n        BOOKTITLE = {CVPR09},\n        YEAR = {2009},\n        BIBSOURCE = \"http://www.image-net.org/papers/imagenet_cvpr09.bib\"}\n",
  "description": "The Stanford Dogs dataset contains images of 120 breeds of dogs from around\nthe world. This dataset has been built using images and annotation from\nImageNet for the task of fine-

Eshan-Agarwal

{
  "citation": "\n@article{Cohan_2018,\n   title={A Discourse-Aware Attention Model for Abstractive Summarization of\n            Long Documents},\n   url={http://dx.doi.org/10.18653/v1/n18-2097},\n   DOI={10.18653/v1/n18-2097},\n   journal={Proceedings of the 2018 Conference of the North American Chapter of\n          the Association for Computational Linguistics: Human Language\n          Technologies, Volume 2 (Short Papers)},\n   publisher={Association for Computational Linguistics},\n   author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli},\n   year={2018}\n}\n",
  "description": "\nScientific papers datasets contains two sets of long and structured documents.\nThe datasets are obtained from ArXiv and PubMed OpenAccess repositories.\n\nBoth \"arxiv\" and \"pubmed\" have two features:\n  - article: the body of the document, pagragraphs seperated by \"/n\".\n  - abstract: the abstract of the document, pagragraphs seperated by

Eshan-Agarwal

{
  "citation": "\n  @article{DBLP:journals/corr/abs-1905-10498,\n  author    = {Chhavi Yadav and\n               L{'{e}}on Bottou},\n  title     = {Cold Case: The Lost {MNIST} Digits},\n  journal   = {CoRR},\n  volume    = {abs/1905.10498},\n  year      = {2019},\n  url       = {http://arxiv.org/abs/1905.10498},\n  archivePrefix = {arXiv},\n  eprint    = {1905.10498},\n  timestamp = {Mon, 03 Jun 2019 13:42:33 +0200},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-1905-10498.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n",
  "description": "\nThe QMNIST dataset was generated from the original data found in the NIST Special Database 19\nwith the goal to match the MNIST preprocessing as closely as possible.\nThe exact preprocessing steps used to construct the MNIST dataset have long been lost. \nThis leaves us with no reliable way to associate its characters with the ID of the writer \nand little hope to recover the full MNIST testing set that had 60K images but was nev