conftrace_

class imbalance

555 papers

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Co-occurring keywords

text classification (6793) data augmentation (3052) long-tailed distribution (142) representation learning (6206) semi-supervised learning (2341) multi-label classification (1009) transformer model (1996) long-tailed recognition (42) image classification (1944) loss function (462)

Papers

WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning ACL 2023
I2C Huelva at SemEval-2023 Task 4: A Resampling and Transformers Approach to Identify Human Values behind Arguments ACL 2023
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection AAAI 2023
Fairness-aware class imbalanced learning on multiple subgroups UAI 2023
T-distributed Spherical Feature Representation for Imbalanced Classification AAAI 2023
Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023
GraVoS: Voxel Selection for 3D Point-Cloud Detection CVPR 2023
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification ACL 2023
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health ACL 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data AISTATS 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting AAAI 2023
How Re-sampling Helps for Long-Tail Learning? NIPS 2023
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection NIPS 2023
Resolving Class Imbalance for LiDAR-Based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling WACV 2023
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NIPS 2023
Improving Robust Fariness via Balance Adversarial Training AAAI 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection NIPS 2023
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023
Sampling bias in NLU models: Impact and Mitigation INTERSPEECH 2023
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023