Neural Network Optimization
4,155 papers
Papers per year
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40
76
113
228
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Papers
SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning
EMNLP 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD
AAAI 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
NeurIPS 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation
NeurIPS 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
COLT 2023
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
NeurIPS 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
NeurIPS 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
ICML 2023
Strong Lottery Ticket Hypothesis with ε–perturbation
AISTATS 2023
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
Super-Resolution Neural Operator
CVPR 2023
Symbolic Discovery of Optimization Algorithms
NeurIPS 2023
Task-aware Adaptive Learning for Cross-domain Few-shot Learning
ICCV 2023
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
NeurIPS 2023
Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection
CVPR 2023
The Crucial Role of Normalization in Sharpness-Aware Minimization
NeurIPS 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
NeurIPS 2023
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima
JMLR 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
NeurIPS 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
ICML 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
AAAI 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
ICML 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NeurIPS 2023