Fetching the paper…
Reading the bibliography…
Despite widespread adoption, machine learning models remain mostly black boxes.
Extracting tree-structured representations of trained networks
M. W. Craven and J. W. Shavlik · 1996
Earlier work this paper cites.
A threshold of ln n for approximating set cover
U. Feige · 1998
Earlier work this paper cites.
Explaining collaborative filtering recommendations
J. L. Herlocker, J. A. Konstan, and J. Riedl · 2000
Earlier work this paper cites.
The role of trust in automation reliance
M. T. Dzindolet, S. A. Peterson, R. A. Pomranky, L. G. Pierce, and H. P. Beck · 2003
Earlier work this paper cites.
Least angle regression
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani · 2004
Earlier work this paper cites.
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
J. Blitzer, M. Dredze, and F. Pereira · 2007
Earlier work this paper cites.
Investigating statistical machine learning as a tool for software development
K. Patel, J. Fogarty, J. A. Landay, and B. Harrison · 2008
Earlier work this paper cites.
Dataset Shift in Machine Learning
J. Q. Candela, M. Sugiyama, A. Schwaighofer, and N. D. Lawrence · 2009
Earlier work this paper cites.
How to explain individual classification decisions
D. Baehrens, T. Schroeter, S. Harmeling, M. Kawanabe, K. Hansen, and K.-R. Müller · 2010
Earlier work this paper cites.
Gestalt: Integrated support for implementation and analysis in machine learning
K. Patel, N. Bancroft, S. M. Drucker, J. Fogarty, A. J. Ko, and J. Landay · 2010
Earlier work this paper cites.
An efficient explanation of individual classifications using game theory
E. Strumbelj and I. Kononenko · 2010
Cited alongside, same era.
Leakage in data mining: Formulation, detection, and avoidance
S. Kaufman, S. Rosset, and C. Perlich · 2011
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Towards transparent systems: Semantic characterization of failure modes
A. Bansal, A. Farhadi, and D. Parikh · 2014
Cited alongside, same era.
You are the only possible oracle: Effective test selection for end users of interactive machine learning systems
A. Groce, T. Kulesza, C. Zhang, S. Shamasunder, M. Burnett, W.-K. Wong, S. Stumpf, S. Das, A. Shinsel, F. Bice, and K. McIntosh · 2014
Cited alongside, same era.
Submodular function maximization
Deep visual-semantic alignments for generating image descriptions
A. Karpathy and F. Li · 2015
Later among the works it cites.
Principles of explanatory debugging to personalize interactive machine learning
T. Kulesza, M. Burnett, W.-K. Wong, and S. Stumpf · 2015
Later among the works it cites.
Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model
B. Letham, C. Rudin, T. H. McCormick, and D. Madigan · 2015
Later among the works it cites.
Towards extracting faithful and descriptive representations of latent variable models
I. Sanchez, T. Rocktaschel, S. Riedel, and S. Singh · 2015
Later among the works it cites.
Hidden technical debt in machine learning systems
D. Sculley, G. Holt, D. Golovin, E. Davydov, T. Phillips, D. Ebner, V. Chaudhary, M. Young, and J.-F. Crespo · 2015
Later among the works it cites.
Going deeper with convolutions
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Krause and D. Golovin · 2014
Cited alongside, same era.
Explaining data-driven document classifications
D. Martens and F. Provost · 2014
Cited alongside, same era.
Predicting failures of vision systems
P. Zhang, J. Wang, A. Farhadi, M. Hebert, and D. Parikh · 2014
Cited alongside, same era.
Modeltracker: Redesigning performance analysis tools for machine learning
S. Amershi, M. Chickering, S. M. Drucker, B. Lee, P. Simard, and J. Suh · 2015
Cited alongside, same era.
Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission
R. Caruana, Y. Lou, J. Gehrke, P. Koch, M. Sturm, and N. Elhadad · 2015
Cited alongside, same era.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Later among the works it cites.
Supersparse linear integer models for optimized medical scoring systems
B. Ustun and C. Rudin · 2015
Later among the works it cites.
Falling rule lists
F. Wang and C. Rudin · 2015
Later among the works it cites.
Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio · 2015
Later among the works it cites.