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loss function optimization

11 papers

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loss function (462) convolutional neural network (4216) hessian matrix (33) characteristic function (17) multi-objective learning (23) hyperparameter tuning (213) multilabel classification (75) second-order optimization (93) deep learning model (60) multi-objective optimization (357)

Papers

LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data SEMEVAL 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models EMNLP 2025
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NIPS 2024
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis INTERSPEECH 2023
GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit NIPS 2022
Crowd Counting in the Frequency Domain CVPR 2022
Data Augmentation for Text Generation Without Any Augmented Data ACL 2021
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract) AAAI 2021
Multi-Objective Convolutional Learning for Face Labeling CVPR 2015