conftrace_

differentiable optimization

51 papers

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Co-occurring keywords

neural network (6616) end-to-end learning (457) implicit differentiation (45) camera pose estimation (247) differentiable programming (102) gradient descent (1144) causal discovery (460) pose estimation (1013) vision-language model (2348) factor graph (81)

Papers

Theseus: A Library for Differentiable Nonlinear Optimization NIPS 2022
End-to-end Stochastic Optimization with Energy-based Model NIPS 2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles CORL 2022
DIFER: Differentiable Automated Feature Engineering AUTOML 2022
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NIPS 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games NIPS 2021
Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021
Neural Architecture Search of SPD Manifold Networks IJCAI 2021
Riggable 3D Face Reconstruction via In-Network Optimization CVPR 2021
Neural Surface Maps CVPR 2021
Differentiable Quality Diversity NIPS 2021
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering ICCV 2021
Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications AISTATS 2021
To The Point: Correspondence-driven monocular 3D category reconstruction NIPS 2021
Differentiable Logic Layer for Rule Guided Trajectory Prediction CORL 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization ICML 2020
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization CVPR 2020
Learning with Differentiable Pertubed Optimizers NIPS 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction ICML 2020
Differentiable Submodular Maximization IJCAI 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks ICML 2017
Differentiable Learning of Submodular Models NIPS 2017