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Neural Network Optimization

903 papers

Papers per year

2
9
127
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Papers

Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021
TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search AAAI 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021
On the Adequacy of Untuned Warmup for Adaptive Optimization AAAI 2021
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021
Improving Gradient Flow with Unrolled Highway Expectation Maximization AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation AAAI 2021
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021
Successive Halving Top-k Operator AAAI 2021
Is Each Layer Non-trivial in CNN? (Student Abstract) AAAI 2021
Optimizing Deeper Transformers on Small Datasets ACL 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
PML: Progressive Margin Loss for Long-Tailed Age Classification CVPR 2021
Network Quantization With Element-Wise Gradient Scaling CVPR 2021
Combined Depth Space Based Architecture Search for Person Re-Identification CVPR 2021
Rethinking BiSeNet for Real-Time Semantic Segmentation CVPR 2021
Cross-Iteration Batch Normalization CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021