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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Loss Functions
1162 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 4
2008: 3
2009: 5
2010: 7
2011: 11
2012: 11
2013: 8
2014: 15
2015: 18
2016: 16
2017: 30
2018: 57
2019: 124
2020: 120
2021: 165
2022: 140
2023: 174
2024: 111
2025: 106
2026: 32
Papers
Measuring the Diversity of Automatic Image Descriptions
COLING 2018
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots
EMNLP 2018
BLEU is Not Suitable for the Evaluation of Text Simplification
EMNLP 2018
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI 2018
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
CVPR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping
CVPR 2018
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
EMNLP 2018
Repulsion Loss: Detecting Pedestrians in a Crowd
CVPR 2018
Edit Probability for Scene Text Recognition
CVPR 2018
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks
CVPR 2018
Deformation Aware Image Compression
CVPR 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
CVPR 2018
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
CVPR 2018
Ring Loss: Convex Feature Normalization for Face Recognition
CVPR 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CVPR 2018
Rethinking Feature Distribution for Loss Functions in Image Classification
CVPR 2018
Learning to Teach with Dynamic Loss Functions
NIPS 2018
Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function
INTERSPEECH 2018
Convex Elicitation of Continuous Properties
NIPS 2018
Pathologies of Neural Models Make Interpretations Difficult
EMNLP 2018
Efficient Optimization for Rank-Based Loss Functions
CVPR 2018
Improving Regression Performance with Distributional Losses
ICML 2018
Angular Softmax for Short-Duration Text-independent Speaker Verification
INTERSPEECH 2018
Investigations on Data Augmentation and Loss Functions for Deep Learning Based Speech-Background Separation
INTERSPEECH 2018
Learning towards Minimum Hyperspherical Energy
NIPS 2018
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