Fetching the paper…
Reading the bibliography…
We explore a new class of end-to-end learnable models wherein data processing nodes (or network layers) are defined in terms of desired behavior rather than an explicit forward function.
Differentiating through a cone program
A. Agrawal, S. Barratt, S. Boyd, E. Busseti, and W. M. Moursi · 1904
Earlier work this paper cites.
Generalized inversion of modified matrices
C. D. Meyer · 1973
Earlier work this paper cites.
Generalized gradients and applications
F. H. Clarke · 1975
Earlier work this paper cites.
Techniques for nonlinear least squares and robust regression
J. E. Dennis Jr and R. E. Welsch · 1978
Earlier work this paper cites.
Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
M. A. Fischler and R. C. Bolles · 1981
Earlier work this paper cites.
Constrained Optimization and Lagrange Multiplier Methods
D. P. Bertsekas · 1982
Earlier work this paper cites.
Learning representations by back-propagating errors
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1986
Earlier work this paper cites.
Matrix Computations
G. H. Golub and C. F. van Loan · 1996
Earlier work this paper cites.
Practical Bilevel Optimization: Algorithms and Applications
J. F. Bard · 1998
Earlier work this paper cites.
Historical outline of the theorem of implicit functions
G. M. Scarpello and D. Ritelli · 2002
Earlier work this paper cites.
Nonlinear Programming
D. P. Bertsekas · 2004
Earlier work this paper cites.
Convex Optimization
S. P. Boyd and L. Vandenberghe · 2004
Earlier work this paper cites.
Multiple View Geometry in Computer Vision
R. I. Hartley and A. Zisserman · 2004
Earlier work this paper cites.
Efficient multiple hyperparameter learning for log-linear models
C. B. Do, C.-S. Foo, and A. Y. Ng · 2007
Earlier work this paper cites.
Efficient projections onto the
J. Duchi, S. Shalev-Shwartz, Y. Singer, and T. Chandra · 2008
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Learning optimized MAP estimates in continuously-valued MRF models
K. G. G. Samuel and M. F. Tappen · 2009
Cited alongside, same era.
Market structure and equilibrium
H. von Stackelberg, D. Bazin, L. Urch, and R. R. Hill · 2011
Cited alongside, same era.
Generic methods for optimization-based modeling
J. Domke · 2012
Cited alongside, same era.
The Implicit Function Theorem: History, Theory, and Applications
S. G. Krantz and H. R. Parks · 2013
Cited alongside, same era.
Implicit Functions and Solution Mappings: A View from Variational Analysis
A. L. Dontchev and R. T. Rockafellar · 2014
Cited alongside, same era.
On the solution of convex bilevel optimization problems
S. Dempe and S. Franke · 2015
Cited alongside, same era.
Generalized rank pooling for action recognition
A. Cherian, B. Fernando, M. Harandi, and S. Gould · 2017
Later among the works it cites.
Differentiable learning of submodular models
J. Djolonga and A. Krause · 2017
Later among the works it cites.
Discriminatively learned hierarchical rank pooling networks
B. Fernando and S. Gould · 2017
Later among the works it cites.
Imposing hard constraints on deep networks: Promises and limitations
P. Márquez-Neila, M. Salzmann, and P. Fua · 2017
Later among the works it cites.
Automatic differentiation in PyTorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Later among the works it cites.
Differentiable MPC for end-to-end planning and control
B. Amos, I. D. J. Rodriguez, J. Sacks, B. Boots, and J. Z. Kolter · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Modeling video evolution for action recognition
B. Fernando, E. Gavves, J. M. Oramas, A. Ghodrati, and T. Tuytelaars · 2015
Cited alongside, same era.
Continuous hyper-parameter learning for support vector machines
T. Klatzer and T. Pock · 2015
Cited alongside, same era.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Cited alongside, same era.
Bilevel optimization with nonsmooth lower level problems
P. Ochs, R. Ranftl, T. Brox, and T. Pock · 2015
Cited alongside, same era.
3D ShapeNets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
Cited alongside, same era.
Learning end-to-end video classification with rank-pooling
B. Fernando and S. Gould · 2016
Cited alongside, same era.
Neural ordinary differential equations
T. Q. Chen, Y. Rubanova, J. Bettencourt, and D. K. Duvenaud · 2018
Later among the works it cites.
End-to-end differentiable physics for learning and control
F. de Avila Belbute-Peres, K. Smith, K. Allen, J. Tenenbaum, and J. Z. Kolter · 2018
Later among the works it cites.
Learning compact neural networks with regularization
S. Oymak · 2018
Later among the works it cites.
Visual permutation learning
R. Santa Cruz, B. Fernando, A. Cherian, and S. Gould · 2018
Later among the works it cites.
Differentiable submodular maximization
S. Tschiatschek, A. Sahin, and A. Krause · 2018
Later among the works it cites.
Differentiable Optimization-Based Modeling for Machine Learning
B. Amos · 2019
Closest in time.
Deep equilibrium models
S. Bai, Z. Kolter, and V. Koltun · 2019
Closest in time.
Meta-learning with differentiable convex optimization
K. Lee, S. Maji, A. Ravichandran, and S. Soatto · 2019
Closest in time.
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
P.-W. Wang, P. L. Donti, B. Wilder, and Z. Kolter · 2019
Closest in time.