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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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1173
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Papers (including subtopics)

LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models EMNLP 2018
Learning Explanations from Language Data EMNLP 2018
Portable, layer-wise task performance monitoring for NLP models EMNLP 2018
Scaling Neural Machine Translation EMNLP 2018
Improving Neural Language Models with Weight Norm Initialization and Regularization EMNLP 2018
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation EMNLP 2018
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018 EMNLP 2018
Multi-source transformer with combined losses for automatic post editing EMNLP 2018
Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018
A Boo(n) for Evaluating Architecture Performance ICML 2018
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients ICML 2018
Improving Optimization for Models With Continuous Symmetry Breaking ICML 2018
Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018
On Acceleration with Noise-Corrupted Gradients ICML 2018
Compressing Neural Networks using the Variational Information Bottleneck ICML 2018
Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima ICML 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018
WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018
Frank-Wolfe with Subsampling Oracle ICML 2018
Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018