Skip to content
conftrace_

loss function optimization

11 papers

Explore in graph

Co-occurring keywords · papers mentioning both

loss function (4) multi-label classification (2) convolutional neural network (2) neural text generation (1) parameter-efficient learning (1) deep learning (1) label smoothing (1) geodesic smoothing (1) gradient descent (1) hamming distance (1)

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 NeurIPS 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 Crowd Counting in the Frequency Domain CVPR 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit NeurIPS 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