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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
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
AAAI 2023
Linear Regularizers Enforce the Strict Saddle Property
AAAI 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
User-Controllable Arbitrary Style Transfer via Entropy Regularization
AAAI 2023
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
NSDI 2023
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE
NSDI 2023
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
AAAI 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI
AAAI 2023
GeoLS: Geodesic Label Smoothing for Image Segmentation
MIDL 2023
spred: Solving L1 Penalty with SGD
ICML 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
ICML 2023
Optimal Shrinkage for Distributed Second-Order Optimization
ICML 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation
ICML 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
ICML 2023
Bit Allocation using Optimization
ICML 2023
Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques
ICML 2023
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation
ICML 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
ICML 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
ICML 2023
Optimizing Mode Connectivity for Class Incremental Learning
ICML 2023
Global optimality for Euclidean CCCP under Riemannian convexity
ICML 2023
Robustly Learning a Single Neuron via Sharpness
ICML 2023
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
ICML 2023
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