Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Deep Learning
›
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
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch
AAAI 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
AAAI 2021
Differentiable Fluids with Solid Coupling for Learning and Control
AAAI 2021
Robust Model Compression Using Deep Hypotheses
AAAI 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
AAAI 2021
Scaling-Up Robust Gradient Descent Techniques
AAAI 2021
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
AAAI 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
AAAI 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
AAAI 2021
Learning Graph Neural Networks with Approximate Gradient Descent
AAAI 2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search
AAAI 2021
On the Adequacy of Untuned Warmup for Adaptive Optimization
AAAI 2021
Learning Dynamics Models with Stable Invariant Sets
AAAI 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
AAAI 2021
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
AAAI 2021
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)
AAAI 2021
LocalNewton: Reducing communication rounds for distributed learning
UAI 2021
Faster Policy Learning with Continuous-Time Gradients
L4DC 2021
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
L4DC 2021
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
OSDI 2021
On Orthogonality Constraints for Transformers
ACL 2021
Projection Robust Wasserstein Barycenters
ICML 2021
MARINA: Faster Non-Convex Distributed Learning with Compression
ICML 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
ICML 2021
<
1
…
42
43
44
…
66
>