conftrace_

loss function

462 papers

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neural network (6616) deep neural network (1803) object detection (2762) neural network optimization (1293) class imbalance (555) convolutional neural network (4226) semantic segmentation (3186) multi-label classification (1009) deep learning (2118) gradient descent (1144)

Papers

Improving Accuracy of Low-resource ASR using Rule-Based Character Constituency Loss (RBCCL) COLING 2025
Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss ICCV 2025
PromotionGo at LeWiDi-2025: Enhancing Multilingual Irony Detection with Data-Augmented Ensembles and L1 Loss EMNLP 2025
GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models NAACL 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024
On the Unstable Convergence Regime of Gradient Descent AAAI 2024
On Using Admissible Bounds for Learning Forward Search Heuristics IJCAI 2024
The GAN is dead; long live the GAN! A Modern GAN Baseline NIPS 2024
How to Evaluate Behavioral Models AAAI 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels AAAI 2024
On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024
Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function INTERSPEECH 2024
GSENet:Global Semantic Enhancement Network for Lane Detection AAAI 2024
Decoupled Kullback-Leibler Divergence Loss NIPS 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Imbalance-aware loss functions improve medical image classification MIDL 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification NIPS 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024