Neural Network Optimization
4,155 papers
Papers per year
1
1
2
3
6
1
7
5
7
9
17
18
40
76
113
228
343
456
501
492
567
622
559
81
'5
'10
'15
'20
'25
Papers
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
AAAI 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
Automated Machine Learning on Graphs: A Survey
IJCAI 2021
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
IJCAI 2021
AutoSpace: Neural Architecture Search With Less Human Interference
ICCV 2021
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
ICLR 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
COLT 2021
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
ACL 2021
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
EACL 2021
Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization
EMNLP 2021
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
EMNLP 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
NeurIPS 2021
calibrated adversarial training
ACML 2021
Can Selfless Learning Improve Accuracy of a Single Classification Task?
WACV 2021
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
ICML 2021
Catformer: Designing Stable Transformers via Sensitivity Analysis
ICML 2021
Channel Permutations for N:M Sparsity
NeurIPS 2021
Characterizing possible failure modes in physics-informed neural networks
NeurIPS 2021
CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline
ACL 2021
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
CVPR 2021
Combined Depth Space Based Architecture Search for Person Re-Identification
CVPR 2021
Compatibility-Aware Heterogeneous Visual Search
CVPR 2021
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks
WACV 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
EMNLP 2021
Constrained Weight Optimization for Learning Without Activation Normalization
WACV 2021