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Theory

1,082 papers

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Papers

Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent AISTATS 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Convergence of Gradient Descent on Separable Data AISTATS 2019
ODE-Inspired Network Design for Single Image Super-Resolution CVPR 2019
Inverse Path Tracing for Joint Material and Lighting Estimation CVPR 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres CVPR 2019
A Sufficient Condition for Convergences of Adam and RMSProp CVPR 2019
Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP 2019
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel EMNLP 2019
A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
Unreproducible Research is Reproducible ICML 2019
What is the Effect of Importance Weighting in Deep Learning? ICML 2019
Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel IJCNLP 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes JMLR 2019
Efficient Neural Network Verification with Exactness Characterization UAI 2019
Learnability for the Information Bottleneck UAI 2019
Computing Higher Order Derivatives of Matrix and Tensor Expressions NIPS 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks NIPS 2018