Co-occurring keywords · papers mentioning both
Papers
Exploring Model-based Planning with Policy Networks
ICLR 2020
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
CVPR 2020
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
CVPR 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression
ACML 2020
Fixed-Point Back-Propagation Training
CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks
CVPR 2020
Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees
AISTATS 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks
AAAI 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
ICML 2020
Group-Wise Dynamic Dropout Based on Latent Semantic Variations
AAAI 2020
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines
CVPR 2020
Harmonic Lowering for Accelerating Harmonic Convolution for Audio Signals
Interspeech 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020
How Can Self-Attention Networks Recognize Dyck-n Languages?
EMNLP 2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
NeurIPS 2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020
Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants
Interspeech 2020
Improve Transformer Models with Better Relative Position Embeddings
EMNLP 2020
Inefficiency of K-FAC for Large Batch Size Training
AAAI 2020
Information-Theoretic Local Minima Characterization and Regularization
ICML 2020
Interference and Generalization in Temporal Difference Learning
ICML 2020
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
IJCAI 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
NeurIPS 2020
Kernel Based Progressive Distillation for Adder Neural Networks
NeurIPS 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
CVPR 2020