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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)

Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
Follow the Moving Leader in Deep Learning ICML 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
Input-to-Output Gate to Improve RNN Language Models IJCNLP 2017
Concept Equalization to Guide Correct Training of Neural Machine Translation IJCNLP 2017
Reducing the Computational Complexity of Two-Dimensional LSTMs INTERSPEECH 2017
Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks INTERSPEECH 2017
A Comparison of Perceptually Motivated Loss Functions for Binary Mask Estimation in Speech Separation INTERSPEECH 2017
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages INTERSPEECH 2017
Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition INTERSPEECH 2017
Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017
Generalized Conditional Gradient for Sparse Estimation JMLR 2017
Clipper: A Low-Latency Online Prediction Serving System NSDI 2017
Maximal Sparsity with Deep Networks? NIPS 2016
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Exponential expressivity in deep neural networks through transient chaos NIPS 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NIPS 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NIPS 2016
Optimal Black-Box Reductions Between Optimization Objectives NIPS 2016
Dynamic Network Surgery for Efficient DNNs NIPS 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks NIPS 2016
Low-Rank Regression with Tensor Responses NIPS 2016