conftrace_

classification loss

15 papers

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Co-occurring keywords

object detection (2762) surrogate loss (94) loss function (462) bounding box regression (78) model calibration (232) convex optimization (1321) classifier design (9) probit loss (1) sensor selection (11) top-k classification (6)

Papers

Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Class Adaptive Network Calibration CVPR 2023
Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection ICCV 2023
Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning WACV 2023
A step towards understanding why classification helps regression ICCV 2023
Consistent Polyhedral Surrogates for Top-k Classification and Variants ICML 2022
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022
Multi-Corpus Speech Emotion Recognition for Unseen Corpus Using Corpus-Wise Weights in Classification Loss INTERSPEECH 2022
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning ICCV 2021
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition AAAI 2020
Learning a Unified Sample Weighting Network for Object Detection CVPR 2020
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss JMLR 2012
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NIPS 2011
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010