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Neural Network Optimization

3,648 papers

Papers per year

Papers

Learning Operators with Coupled Attention JMLR 2022
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Edit Distance Based Curriculum Learning for Paraphrase Generation ACL 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction IJCNLP 2021
On the Influence of Masking Policies in Intermediate Pre-training EMNLP 2021
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021
SWAD: Domain Generalization by Seeking Flat Minima NIPS 2021
Teacher Guided Neural Architecture Search for Face Recognition AAAI 2021
Luna: Linear Unified Nested Attention NIPS 2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization NIPS 2021
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems NIPS 2021
Learning to Defend by Learning to Attack AISTATS 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ACL 2021
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data NIPS 2021
Training Recurrent Neural Networks via Forward Propagation Through Time ICML 2021
Coreference Resolution without Span Representations ACL 2021
Rectification-Based Knowledge Retention for Continual Learning CVPR 2021
Gated Linear Networks AAAI 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021
Differentiable Dynamic Wirings for Neural Networks ICCV 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation ACL 2021
SMG: A Shuffling Gradient-Based Method with Momentum ICML 2021
Stable ResNet AISTATS 2021
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers IJCNLP 2021