|Vqa: Visual question answering|
S Antol, A Agrawal, J Lu, M Mitchell, D Batra, C Lawrence Zitnick, ...
Proceedings of the IEEE international conference on computer vision, 2425-2433, 2015
|From captions to visual concepts and back|
H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
|A neural network approach to context-sensitive generation of conversational responses|
A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ...
arXiv preprint arXiv:1506.06714, 2015
|Midge: Generating image descriptions from computer vision detections|
M Mitchell, X Han, J Dodge, A Mensch, A Goyal, A Berg, K Yamaguchi, ...
Proceedings of the 13th Conference of the European Chapter of the …, 2012
|Language models for image captioning: The quirks and what works|
J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell
arXiv preprint arXiv:1505.01809, 2015
|Spoken language derived measures for detecting mild cognitive impairment|
B Roark, M Mitchell, JP Hosom, K Hollingshead, J Kaye
IEEE transactions on audio, speech, and language processing 19 (7), 2081-2090, 2011
TH Huang, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ...
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
|Generating natural questions about an image|
N Mostafazadeh, I Misra, J Devlin, M Mitchell, X He, L Vanderwende
arXiv preprint arXiv:1603.06059, 2016
|Understanding and predicting importance in images|
AC Berg, TL Berg, H Daume, J Dodge, A Goyal, X Han, A Mensch, ...
2012 IEEE Conference on Computer Vision and Pattern Recognition, 3562-3569, 2012
|Exploring nearest neighbor approaches for image captioning|
J Devlin, S Gupta, R Girshick, M Mitchell, CL Zitnick
arXiv preprint arXiv:1505.04467, 2015
|CLPsych 2015 shared task: Depression and PTSD on Twitter|
G Coppersmith, M Dredze, C Harman, K Hollingshead, M Mitchell
Proceedings of the 2nd Workshop on Computational Linguistics and Clinical …, 2015
|Mitigating unwanted biases with adversarial learning|
BH Zhang, B Lemoine, M Mitchell
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 335-340, 2018
|deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets|
M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ...
arXiv preprint arXiv:1506.06863, 2015
|Model cards for model reporting|
M Mitchell, S Wu, A Zaldivar, P Barnes, L Vasserman, B Hutchinson, ...
Proceedings of the conference on fairness, accountability, and transparency …, 2019
|Seeing through the human reporting bias: Visual classifiers from noisy human-centric labels|
I Misra, C Lawrence Zitnick, M Mitchell, R Girshick
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
|Syntactic complexity measures for detecting mild cognitive impairment|
B Roark, M Mitchell, K Hollingshead
Biological, translational, and clinical language processing, 1-8, 2007
|Multi-task learning for mental health using social media text|
A Benton, M Mitchell, D Hovy
arXiv preprint arXiv:1712.03538, 2017
|Open domain targeted sentiment|
M Mitchell, J Aguilar, T Wilson, B Van Durme
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
|Quantifying the language of schizophrenia in social media|
M Mitchell, K Hollingshead, G Coppersmith
Proceedings of the 2nd workshop on Computational linguistics and clinical …, 2015
|Generating expressions that refer to visible objects|
M Mitchell, K Van Deemter, E Reiter
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013