Co-occurring keywords · papers mentioning both
Papers
In Search of a Data Transformation That Accelerates Neural Field Training
CVPR 2024
Loss Landscape Characterization of Neural Networks without Over-Parametrization
NeurIPS 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
AAAI 2024
Make Continual Learning Stronger via C-Flat
NeurIPS 2024
MD tree: a model-diagnostic tree grown on loss landscape
ICML 2024
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
NeurIPS 2024
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
ICML 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
ICML 2024
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
ICLR 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
ICLR 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
EMNLP 2024
Sharpness-Aware Data Poisoning Attack
ICLR 2024
Stepping Forward on the Last Mile
NeurIPS 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis
JMLR 2024
Topological obstruction to the training of shallow ReLU neural networks
NeurIPS 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
CVPR 2024
Understanding the Generalization Benefits of Late Learning Rate Decay
AISTATS 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
Unraveling the Gradient Descent Dynamics of Transformers
NeurIPS 2024
Weight Conditioning for Smooth Optimization of Neural Networks
ECCV 2024
Why are Sensitive Functions Hard for Transformers?
ACL 2024
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
NeurIPS 2024
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
JMLR 2023
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information
ACML 2023