conftrace_

loss function

462 papers

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Co-occurring keywords

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

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss AAAI 2022
Are All Losses Created Equal: A Neural Collapse Perspective NIPS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NIPS 2022
Polygon-to-Polygon Distance Loss for Rotated Object Detection AAAI 2022
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression AAAI 2022
None Class Ranking Loss for Document-Level Relation Extraction IJCAI 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration IJCAI 2022
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task ACL 2022
What to Learn, and How: Toward Effective Learning from Rationales ACL 2022
Revisiting Over-Smoothness in Text to Speech ACL 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning NIPS 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective ICML 2022
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation NAACL 2022
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NIPS 2022
Structured Energy Network As a Loss NIPS 2022
Exploiting Co-occurrence Frequency of Emotions in Perceptual Evaluations To Train A Speech Emotion Classifier INTERSPEECH 2022
Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm CVPR 2022
AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022
Novel Ensemble Diversification Methods for Open-Set Scenarios WACV 2022
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition AAAI 2022
Understanding the unstable convergence of gradient descent ICML 2022
Active Boundary Loss for Semantic Segmentation AAAI 2022
Normalizing Mutual Information for Robust Adaptive Training for Translation EMNLP 2022