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Model Architecture

4,351 papers

Papers per year

Papers

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes CORL 2020
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach AAAI 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods AAAI 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction AAAI 2020
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks AAAI 2020
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020
Training Decision Trees as Replacement for Convolution Layers AAAI 2020
Fast and Deep Graph Neural Networks AAAI 2020
Adaptive Convolutional ReLUs AAAI 2020
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020
DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020
DIANet: Dense-and-Implicit Attention Network AAAI 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks AAAI 2020
URNet: User-Resizable Residual Networks with Conditional Gating Module AAAI 2020
Stochastic Loss Function AAAI 2020
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020
The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020
Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020
Linear Context Transform Block AAAI 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020