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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
Provable Data Subset Selection For Efficient Neural Networks Training
ICML 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution
AAAI 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
ICML 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
ICML 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
ICML 2023
MODeL: Memory Optimizations for Deep Learning
ICML 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
ICML 2023
Long Horizon Temperature Scaling
ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
ICML 2023
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
ICML 2023
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
AAAI 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
ICML 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
Simplex Random Features
ICML 2023
Towards Understanding Ensemble Distillation in Federated Learning
ICML 2023
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
ICML 2023
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
ICML 2023
Optimal Sets and Solution Paths of ReLU Networks
ICML 2023
On the Convergence of Gradient Flow on Multi-layer Linear Models
ICML 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
AAAI 2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training
ACL 2023
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
ICML 2023
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