← Techniques
Deep Learning › Techniques ›

Model Architecture

4351 directly classified papers

Papers per year

Papers

Quaternion Product Units for Deep Learning on 3D Rotation Groups CVPR 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Temporal Pyramid Network for Action Recognition CVPR 2020
Rethinking the Value of Transformer Components COLING 2020
Supervised Visual Attention for Multimodal Neural Machine Translation COLING 2020
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion CVPR 2020
Structured Tuning for Semantic Role Labeling ACL 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images CVPR 2020
Non-Autoregressive Neural Text-to-Speech ICML 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
AdaTune: Adaptive Tensor Program Compilation Made Efficient NIPS 2020
Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020
JAX MD: A Framework for Differentiable Physics NIPS 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020
Non-Euclidean Universal Approximation NIPS 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NIPS 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NIPS 2020
Multi-Plane Program Induction with 3D Box Priors NIPS 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions NIPS 2020
Neural Power Units NIPS 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Learning Physical Constraints with Neural Projections NIPS 2020