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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
Training Over-parameterized Models with Non-decomposable Objectives
NIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
NIPS 2021
Boost Neural Networks by Checkpoints
NIPS 2021
A Convergence Analysis of Gradient Descent on Graph Neural Networks
NIPS 2021
Heavy Ball Momentum for Conditional Gradient
NIPS 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
NIPS 2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
NIPS 2021
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
NIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
NIPS 2021
Robust Optimization for Multilingual Translation with Imbalanced Data
NIPS 2021
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
NIPS 2021
Tensor Normal Training for Deep Learning Models
NIPS 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
NIPS 2021
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning
ICCV 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
ICCV 2021
Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility
ICCV 2021
(Just) A Spoonful of Refinements Helps the Registration Error Go Down
ICCV 2021
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
ICCV 2021
Adaptive Curriculum Learning
ICCV 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition
ICCV 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
NIPS 2021
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space
IJCAI 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
IJCAI 2021
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