loss function

How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ICML 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions AAAI 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Influence Functions in Deep Learning Are Fragile ICLR 2021 Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities IJCAI 2021 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021 Label-Imbalanced and Group-Sensitive Classification under Overparameterization NeurIPS 2021 Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021 Learning Modulated Loss for Rotated Object Detection AAAI 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021 Learning With Noisy Labels via Sparse Regularization ICCV 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021 Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021 Log-Likelihood-Ratio Cost Function as Objective Loss for Speaker Verification Systems Interspeech 2021 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search ICLR 2021 Low-Delay Speech Enhancement Using Perceptually Motivated Target and Loss Interspeech 2021 Lower-Bounded Proper Losses for Weakly Supervised Classification ICML 2021 MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021 Multi-Label Learning From Single Positive Labels CVPR 2021 Multi-Loss Weighting With Coefficient of Variations WACV 2021 On Biasing Transformer Attention Towards Monotonicity NAACL 2021 On UMAP's True Loss Function NeurIPS 2021