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loss function

515 papers

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neural network (37) neural network optimization (29) object detection (28) deep neural network (27) semantic segmentation (26) convolutional neural network (25) class imbalance (25) gradient descent (24) multi-label classification (22) deep learning (20)

Papers

Dual Cone Gradient Descent for Training Physics-Informed Neural Networks NeurIPS 2024 Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods IJCAI 2024 Estimating Canopy Height at Scale ICML 2024 Flatness-Aware Gradient Descent for Safe Conversational AI NAACL 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 GSENet:Global Semantic Enhancement Network for Lane Detection AAAI 2024 Hierarchical Novelty Detection via Fine-Grained Evidence Allocation ICML 2024 Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024 How to Boost Any Loss Function NeurIPS 2024 How to Evaluate Behavioral Models AAAI 2024 Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024 Improving Fairness in Deepfake Detection WACV 2024 Infrared Small Target Detection with Scale and Location Sensitivity CVPR 2024 Instruction Tuning With Loss Over Instructions NeurIPS 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024 Learning with Fitzpatrick Losses NeurIPS 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples ICML 2024 MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models NAACL 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024