Optimization
1,960 papers
Papers per year
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2
4
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4
8
25
19
28
34
44
82
125
160
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394
302
89
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Papers
Modular Duality in Deep Learning
ICML 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
CVPR 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
AAAI 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models
EMNLP 2025
Nesterov acceleration in benignly non-convex landscapes
ICLR 2025
Neuromanifold-Regularized KANs for Shape-fair Feature Representations
ICCV 2025
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
AAAI 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
JMLR 2025
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning
ICML 2025
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
ICML 2025
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
ICLR 2025
OPTAMI: Global Superlinear Convergence of High-order Methods
ICLR 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
CVPR 2025
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments
IJCAI 2025
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
Optimizing for the Shortest Path in Denoising Diffusion Model
CVPR 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
Orthogonal Finetuning Made Scalable
EMNLP 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
AAAI 2025
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
AAAI 2025
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
ICML 2025
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
ICLR 2025
PARQ: Piecewise-Affine Regularized Quantization
ICML 2025
Paths and Ambient Spaces in Neural Loss Landscapes
AISTATS 2025