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2An archival perspective on pretraining data
M. Desai, I. Pasquetto, A. Jacobs, and D. Card. Patterns, (April 2024)
2 months ago by @pfcdgayo
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datasets
datasets
(0)
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2Sampled Datasets Risk Substantial Bias in the Identification of Political Polarization on Social Media
G. Bona, E. Fraxanet, B. Komander, A. Sasso, V. Morini, A. Vendeville, M. Falkenberg, and A. Galeazzi. (2024)
2 months ago by @pfcdgayo
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classification
datasets
polarization
social-media
classificationdatasetspolarizationsocial-media
(0)
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2Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks
A. Halterman, and K. Keith. (2024)
2 months ago by @pfcdgayo
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LLM
annotation
codebooks
datasets
LLMannotationcodebooksdatasets
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2Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data
J. Tritscher, M. Ring, D. Schlr, L. Hettinger, and A. Hotho. Foundations of Intelligent Systems, page 422--430. Cham, Springer International Publishing, (April 2020)
6 months ago by @dmir
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2020
data
datasets
evaluation
from:hotho
myown
tabular
xai
2020datadatasetsevaluationfrom:hothomyowntabularxai
(0)
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1Analysing and Examining Taxonomy and Folksonomy Terms in the Hybrid Subject Device using Machine Learning Techniques
S. Chatterjee, and R. Das. (2022)
8 months ago by @dsostaric1234
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big-data
datasets
folksonomy
machine-learning
tags
taxonomy
big-datadatasetsfolksonomymachine-learningtagstaxonomy
(0)
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1LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
F. Yu, Y. Zhang, S. Song, A. Seff, and J. Xiao. CoRR, (2015)
11 months ago by @andolab
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datasets
deep-learning
datasetsdeep-learning
(0)
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1Crowdsourcing Saliency with Webcam based Eye Tracking
P. Xu, K. Ehinger, Y. Zhang, A. Finkelstein, S. Kulkarni, and J. Xiao. CoRR, (2015)
11 months ago by @andolab
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datasets
deep-learning
datasetsdeep-learning
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2Describing Textures in the Wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi. 2014 IEEE Conference on Computer Vision and Pattern Recognition, page 3606-3613. (2014)
11 months ago by @andolab
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datasets
deep-learning
datasetsdeep-learning
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2Places: A 10 Million Image Database for Scene Recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (6): 1452-1464 (2018)
11 months ago by @andolab
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datasets
deep-learning
datasetsdeep-learning
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3Reading Digits in Natural Images with Unsupervised Feature Learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Ng. (2011)
11 months ago by @andolab
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datasets
deep-learning
datasetsdeep-learning
(0)
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1Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing
M. Geiß, R. Wagner, M. Baresch, J. Steiner, and M. Zwick. Micromachines, 14 (2): 442 (February 2023)
2 years ago by @scch
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bounding
box
datasets
industrial
manufacturing
small
training
boundingboxdatasetsindustrialmanufacturingsmalltraining
(0)
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3Adbench: Anomaly detection benchmark
S. Han, X. Hu, H. Huang, M. Jiang, and Y. Zhao. Advances in Neural Information Processing Systems, (2022)
2 years ago by @daschloer
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anomaly
benchmark
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detection
anomalybenchmarkdatasetsdetection
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4Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P. Villalobos, J. Sevilla, L. Heim, T. Besiroglu, M. Hobbhahn, and A. Ho. arXiv preprint arXiv:2211.04325, (2022)
2 years ago by @becker
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themis
large
data
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learning
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2SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data
H. Nguyen, D. Bozhkov, Z. Ahmadi, N. Nguyen, and T. Doan. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, (July 2022)
2 years ago by @erichoang
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analysis
applications
blockchain
database
datasets
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myown
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analysisapplicationsblockchaindatabasedatasetsdecentralizedmyownnetworknetworkssocial
(0)
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1Mapping single-cell data to reference atlases by transfer learning
M. Lotfollahi, M. Naghipourfar, M. Luecken, M. Khajavi, M. Büttner, M. Wagenstetter, {. Avsec, A. Gayoso, N. Yosef, M. Interlandi and 1 other author(s). Nature Biotechnology, 40 (1): 121--130 (2022)
2 years ago by @becker
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single
cell
mapping
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atlas
transfer
learning
combine
datasets
dataset
nature
theiss
citedby:scholar:count:57
citedby:scholar:timestamp:2022-8-30
singlecellmappingreferenceatlastransferlearningcombinedatasetsdatasetnaturetheisscitedby:scholar:count:57citedby:scholar:timestamp:2022-8-30
(0)
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1Wilds: A benchmark of in-the-wild distribution shifts
P. Koh, S. Sagawa, H. Marklund, S. Xie, M. Zhang, A. Balsubramani, W. Hu, M. Yasunaga, R. Phillips, I. Gao and 1 other author(s). International Conference on Machine Learning, page 5637--5664. PMLR, (2021)
3 years ago by @becker
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data
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datasets
citedby:scholar:count:135
citedby:scholar:timestamp:2022-1-21
m:
m:id:undefined:node
m:id:undefined:coordinate:x:-251.9265022277832
m:id:undefined:coordinate:y:-169.61904335021973
datadistributionshiftbenchmarkdatasetscitedby:scholar:count:135citedby:scholar:timestamp:2022-1-21m:m:id:undefined:nodem:id:undefined:coordinate:x:-251.9265022277832m:id:undefined:coordinate:y:-169.61904335021973
(0)
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2JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages.
Z. Agic, and I. Vulic. ACL (1), page 3204-3210. Association for Computational Linguistics, (2019)
3 years ago by @asmelash
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HornMT
MT
datasets
low-resource
HornMTMTdatasetslow-resource
(0)
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2Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation.
S. Abate, M. Woldeyohannis, M. Tachbelie, M. Meshesha, S. Atinafu, W. Mulugeta, Y. Assabie, H. Abera, B. Seyoum, T. Abebe and 4 other author(s). COLING, page 3102-3111. Association for Computational Linguistics, (2018)
3 years ago by @asmelash
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HornMT
MT
datasets
parallel-corpus
HornMTMTdatasetsparallel-corpus
(0)
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3Training generative adversarial networks with limited data
T. Karras, M. Aittala, J. Hellsten, S. Laine, J. Lehtinen, and T. Aila. arXiv preprint arXiv:2006.06676, (2020)
3 years ago by @becker
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training
generative
adversarial
networks
gan
limited
data
small
datasets
set
model
neural
network
deep
learning
citedby:scholar:count:128
citedby:scholar:timestamp:2021-7-20
traininggenerativeadversarialnetworksganlimiteddatasmalldatasetssetmodelneuralnetworkdeeplearningcitedby:scholar:count:128citedby:scholar:timestamp:2021-7-20
(0)
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1HumAID: Human-Annotated Disaster Incidents Data from Twitter
F. Alam, U. Qazi, M. Imran, and F. Ofli. (2021)cite arxiv:2104.03090Comment: Accepted in ICWSM-2021, Twitter datasets, Textual content, Natural disasters, Crisis Informatics.
4 years ago by @firojalam
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Twitter
datasets
Twitterdatasets
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7UCI Machine Learning Repository

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2An archival perspective on pretraining data

2Sampled Datasets Risk Substantial Bias in the Identification of Political Polarization on Social Media

2Codebook LLMs: Adapting Political Science Codebooks for LLM Use and Adapting LLMs to Follow Codebooks

2Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data

1Analysing and Examining Taxonomy and Folksonomy Terms in the Hybrid Subject Device using Machine Learning Techniques

1LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

1Crowdsourcing Saliency with Webcam based Eye Tracking

2Describing Textures in the Wild

2Places: A 10 Million Image Database for Scene Recognition

3Reading Digits in Natural Images with Unsupervised Feature Learning

1Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing

3Adbench: Anomaly detection benchmark

4Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

2SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data

1Mapping single-cell data to reference atlases by transfer learning

1Wilds: A benchmark of in-the-wild distribution shifts

2JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages.

2Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation.

3Training generative adversarial networks with limited data

1HumAID: Human-Annotated Disaster Incidents Data from Twitter

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