neural network optimization

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation CVPR 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time ICLR 2021 Implicit Regularization in ReLU Networks with the Square Loss COLT 2021 Implicit Regularization in Tensor Factorization ICML 2021 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning ICLR 2021 Improving Gradient Flow with Unrolled Highway Expectation Maximization AAAI 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021 Incremental Beam Manipulation for Natural Language Generation EACL 2021 Influence Functions in Deep Learning Are Fragile ICLR 2021 Interpreting and Boosting Dropout from a Game-Theoretic View ICLR 2021 IrEne: Interpretable Energy Prediction for Transformers ACL 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021 Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021 Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NeurIPS 2021 Learning a Single Neuron with Bias Using Gradient Descent NeurIPS 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Learning Modulated Loss for Rotated Object Detection AAAI 2021 Learning Neural Network Subspaces ICML 2021 Learning Privacy-Preserving Optics for Human Pose Estimation ICCV 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning With Privileged Tasks ICCV 2021 Learning with Retrospection AAAI 2021 Linear Mode Connectivity in Multitask and Continual Learning ICLR 2021