conftrace_
← Techniques
Deep Learning › Techniques ›

Model Architecture

4,351 papers

Papers per year

Papers

Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition WACV 2021
Holistic Filter Pruning for Efficient Deep Neural Networks WACV 2021
Appending Adversarial Frames for Universal Video Attack WACV 2021
DualSANet: Dual Spatial Attention Network for Iris Recognition WACV 2021
Revisiting Adaptive Convolutions for Video Frame Interpolation WACV 2021
Rotate to Attend: Convolutional Triplet Attention Module WACV 2021
PDAN: Pyramid Dilated Attention Network for Action Detection WACV 2021
ChartOCR: Data Extraction From Charts Images via a Deep Hybrid Framework WACV 2021
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method NIPS 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
Neuron Merging: Compensating for Pruned Neurons NIPS 2020
Post-training Iterative Hierarchical Data Augmentation for Deep Networks NIPS 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks NIPS 2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning NIPS 2020
FleXOR: Trainable Fractional Quantization NIPS 2020
Auto Learning Attention NIPS 2020
Neural Networks Fail to Learn Periodic Functions and How to Fix It NIPS 2020
Rethinking pooling in graph neural networks NIPS 2020
ShiftAddNet: A Hardware-Inspired Deep Network NIPS 2020
Intra-Processing Methods for Debiasing Neural Networks NIPS 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts NIPS 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation NIPS 2020
Learning Physical Constraints with Neural Projections NIPS 2020
Adam with Bandit Sampling for Deep Learning NIPS 2020