loss landscape

Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Flatness-Aware Minimization for Domain Generalization ICCV 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity NeurIPS 2023 Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond ICML 2023 How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization ICLR 2023 Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers ICCV 2023 Landscape Learning for Neural Network Inversion ICCV 2023 Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023 Mechanistic Mode Connectivity ICML 2023 Omnigrok: Grokking Beyond Algorithmic Data ICLR 2023 On skip connections and normalisation layers in deep optimisation NeurIPS 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NeurIPS 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 SAAL: Sharpness-Aware Active Learning ICML 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 Sharpness-Aware Gradient Matching for Domain Generalization CVPR 2023 Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023 Squeeze Training for Adversarial Robustness ICLR 2023