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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
›
Optimization
1638 directly classified papers
Papers per year
2006: 5
2007: 2
2008: 4
2009: 2
2010: 2
2011: 3
2012: 8
2013: 25
2014: 19
2015: 22
2016: 31
2017: 42
2018: 68
2019: 104
2020: 148
2021: 174
2022: 178
2023: 209
2024: 345
2025: 244
2026: 3
Papers
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining
CVPR 2021
OpEvo: An Evolutionary Method for Tensor Operator Optimization
AAAI 2021
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
AAAI 2021
Neural Architecture Search as Sparse Supernet
AAAI 2021
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
AAAI 2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks
AAAI 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
AAAI 2021
Liquid Time-constant Networks
AAAI 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
AAAI 2021
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp
AAAI 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
AAAI 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
EMNLP 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
EMNLP 2021
To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation
EMNLP 2021
Towards Stable and Robust AdderNets
NIPS 2021
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
NIPS 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
NIPS 2021
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NIPS 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
NIPS 2021
Image Generation using Continuous Filter Atoms
NIPS 2021
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