Neural Network Optimization
4,155 papers
Papers per year
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Papers
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
Interspeech 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
CVPR 2021
How Benign is Benign Overfitting ?
ICLR 2021
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
ICLR 2021
How much pretraining data do language models need to learn syntax?
EMNLP 2021
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
ACL 2021
Hyperparameter Power Impact in Transformer Language Model Training
EMNLP 2021
Hyperparameter Tuning is All You Need for LISTA
NeurIPS 2021
HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation
CVPR 2021
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
ICLR 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks
ICCV 2021
Implicit Bias of Linear RNNs
ICML 2021
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
NeurIPS 2021
Implicit Gradient Regularization
ICLR 2021
Implicit Kernel Attention
AAAI 2021
Implicit Regularization in Tensor Factorization
ICML 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
JMLR 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
NeurIPS 2021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
ICLR 2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
ACL 2021
Improved, Deterministic Smoothing for L_1 Certified Robustness
ICML 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
ICLR 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
NeurIPS 2021
Improving Deep Learning Interpretability by Saliency Guided Training
NeurIPS 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
ICML 2021