conftrace_

loss landscape

149 papers

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neural network optimization (1293) gradient descent (1144) neural network (6616) sharpness-aware minimization (81) stochastic gradient descent (1091) flat minima (50) deep neural network (1803) mode connectivity (17) transfer learning (5449) neural network training (309)

Papers

Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning AAAI 2026
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning AAAI 2026
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias AAAI 2026
A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint) AAAI 2026
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026
Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
Gradient-Guided Annealing for Domain Generalization CVPR 2025
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
Enhancing Language Model Hypernetworks with Restart: A Study on Optimization NAACL 2025
Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025
Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025
Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation CVPR 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025
Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling ICCV 2025
Topological obstruction to the training of shallow ReLU neural networks NIPS 2024
Initializing Services in Interactive ML Systems for Diverse Users NIPS 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024
Why are Sensitive Functions Hard for Transformers? ACL 2024
Stepping Forward on the Last Mile NIPS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024