conftrace_

neural network optimization

1293 papers

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Co-occurring keywords

model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

Local Regularizer Improves Generalization AAAI 2020
Learning Sparse Neural Networks for Better Generalization IJCAI 2020
Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020
On the Computational Power of Transformers and Its Implications in Sequence Modeling EMNLP 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020
schuBERT: Optimizing Elements of BERT ACL 2020
Attentive Pooling with Learnable Norms for Text Representation ACL 2020
UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa EMNLP 2020
New Interpretations of Normalization Methods in Deep Learning AAAI 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020
Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020
Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
Towards Efficient Model Compression via Learned Global Ranking CVPR 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition CVPR 2020
ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks CVPR 2020
Sideways: Depth-Parallel Training of Video Models CVPR 2020
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection INTERSPEECH 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NIPS 2020
Regularized linear autoencoders recover the principal components, eventually NIPS 2020