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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

8
50
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1173
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Papers (including subtopics)

New Interpretations of Normalization Methods in Deep Learning AAAI 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020
Sanity Checks for Saliency Metrics AAAI 2020
Deep Conservative Policy Iteration AAAI 2020
Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020
Light Multi-Segment Activation for Model Compression AAAI 2020
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020
High Performance Depthwise and Pointwise Convolutions on Mobile Devices AAAI 2020
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020
Local Regularizer Improves Generalization AAAI 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain AAAI 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis AAAI 2020
Hashing Based Answer Selection AAAI 2020