Co-occurring keywords · papers mentioning both
Papers
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
NeurIPS 2022
Ranking-Based Siamese Visual Tracking
CVPR 2022
Supervised Off-Policy Ranking
ICML 2022
Multi-Label Learning with Pairwise Relevance Ordering
NeurIPS 2021
RankDetNet: Delving Into Ranking Constraints for Object Detection
CVPR 2021
Task-Aware Variational Adversarial Active Learning
CVPR 2021
Deep Attentive Ranking Networks for Learning to Order Sentences
AAAI 2020
DR Loss: Improving Object Detection by Distributional Ranking
CVPR 2020
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking
EMNLP 2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
SemEval 2020
RankMI: A Mutual Information Maximizing Ranking Loss
CVPR 2020
Structure-Guided Ranking Loss for Single Image Depth Prediction
CVPR 2020
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification
AAAI 2020
Differentiable Ranking and Sorting using Optimal Transport
NeurIPS 2019
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
ACL 2019
Learning to Rank for Plausible Plausibility
ACL 2019
Learning to Rank Proposals for Object Detection
ICCV 2019
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network
CVPR 2019
Ranked List Loss for Deep Metric Learning
CVPR 2019
Ranking-Based Autoencoder for Extreme Multi-label Classification
NAACL 2019
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
CVPR 2019
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability
ICCV 2019
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI 2018
Monocular Relative Depth Perception With Web Stereo Data Supervision
CVPR 2018
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks
SemEval 2018