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Model Architecture

4351 directly classified papers

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Papers

Directional Pruning of Deep Neural Networks NIPS 2020
Neuron-level Structured Pruning using Polarization Regularizer NIPS 2020
Adam with Bandit Sampling for Deep Learning NIPS 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020
Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020
Hypersolvers: Toward Fast Continuous-Depth Models NIPS 2020
Learning To Stop While Learning To Predict ICML 2020
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks ICML 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020
Revealing the Myth of Higher-Order Inference in Coreference Resolution EMNLP 2020
Tensorized Embedding Layers EMNLP 2020
Reverberation Modeling for Source-Filter-Based Neural Vocoder INTERSPEECH 2020
Linguistic Features for Readability Assessment ACL 2020
Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020
Boosting Deep Neural Network Efficiency with Dual-Module Inference ICML 2020
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method NIPS 2020
Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text INTERSPEECH 2020
A Lightweight Model Based on Separable Convolution for Speech Emotion Recognition INTERSPEECH 2020
MeshSDF: Differentiable Iso-Surface Extraction NIPS 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning NIPS 2020
Auto Learning Attention NIPS 2020
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation NIPS 2020
Intra-Processing Methods for Debiasing Neural Networks NIPS 2020
schuBERT: Optimizing Elements of BERT ACL 2020