Optimization
1,960 papers
Papers per year
5
2
4
2
3
4
8
25
19
28
34
44
82
125
160
195
201
234
394
302
89
'10
'15
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'25
Papers
On the Adequacy of Untuned Warmup for Adaptive Optimization
AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
NeurIPS 2021
On the Predictability of Pruning Across Scales
ICML 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
ICML 2021
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
ICLR 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
ICML 2021
OpEvo: An Evolutionary Method for Tensor Operator Optimization
AAAI 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs
CVPR 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
OTA: Optimal Transport Assignment for Object Detection
CVPR 2021
Penalty Method for Inversion-Free Deep Bilevel Optimization
ACML 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
OSDI 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
ICML 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
ICML 2021
Projection Robust Wasserstein Barycenters
ICML 2021
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)
AAAI 2021
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
EMNLP 2021
Regularizing Generative Adversarial Networks Under Limited Data
CVPR 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search
CVPR 2021
Residual Echo and Noise Cancellation with Feature Attention Module and Multi-Domain Loss Function
Interspeech 2021
Revealing the Structure of Deep Neural Networks via Convex Duality
ICML 2021
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
AISTATS 2021
Riggable 3D Face Reconstruction via In-Network Optimization
CVPR 2021