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

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent IJCAI 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression IJCAI 2019
Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019
Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR 2019
Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NIPS 2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization ICML 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NIPS 2019
Differentiable Dynamic Normalization for Learning Deep Representation ICML 2019
Improving Neural Language Modeling via Adversarial Training ICML 2019
On the Impact of the Activation function on Deep Neural Networks Training ICML 2019
A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019
On the Continuity of Rotation Representations in Neural Networks CVPR 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NIPS 2019
Online Hyper-Parameter Learning for Auto-Augmentation Strategy ICCV 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
Universally Slimmable Networks and Improved Training Techniques ICCV 2019
Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019
Meta Architecture Search NIPS 2019
Limitations of the empirical Fisher approximation for natural gradient descent NIPS 2019
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019