Co-occurring keywords · papers mentioning both
Papers
Oracle Complexity in Nonsmooth Nonconvex Optimization
NeurIPS 2021
**Paper retracted by author request (see pdf for retraction notice from the authors)** Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping
COLT 2021
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
NeurIPS 2021
Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection
Interspeech 2021
Path Length Bounds for Gradient Descent and Flow
JMLR 2021
PID-Based Approach to Adversarial Attacks
AAAI 2021
Powerpropagation: A sparsity inducing weight reparameterisation
NeurIPS 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
NeurIPS 2021
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
ICML 2021
Rank-one matrix estimation: analytic time evolution of gradient descent dynamics
COLT 2021
Receptive Field Size Optimization With Continuous Time Pooling
WACV 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
AISTATS 2021
Relaxing Local Robustness
NeurIPS 2021
Replica Exchange for Non-Convex Optimization
JMLR 2021
Representational aspects of depth and conditioning in normalizing flows
ICML 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
ICML 2021
Reverse engineering learned optimizers reveals known and novel mechanisms
NeurIPS 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
ICLR 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates
NeurIPS 2021
R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina
ICCV 2021
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
NeurIPS 2021
SA-BNN: State-Aware Binary Neural Network
AAAI 2021
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
NeurIPS 2021
Scalable Rule-Based Representation Learning for Interpretable Classification
NeurIPS 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
NeurIPS 2021