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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

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Papers (including subtopics)

Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020
Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
On the Convergence of SARAH and Beyond AISTATS 2020
ASAP: Architecture Search, Anneal and Prune AISTATS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020
Infinitely deep neural networks as diffusion processes AISTATS 2020
Stable behaviour of infinitely wide deep neural networks AISTATS 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Assessing Local Generalization Capability in Deep Models AISTATS 2020
Learning in Gated Neural Networks AISTATS 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise AISTATS 2020
Orthogonal Gradient Descent for Continual Learning AISTATS 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020
Universal Approximation with Deep Narrow Networks COLT 2020
Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020
Deep Unfolding Network for Image Super-Resolution CVPR 2020
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020
SGAS: Sequential Greedy Architecture Search CVPR 2020