Papers
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Gang Wu, Junjun Jiang, Yijun Wang et al.
Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification
Mingyang Liu, Xinyang Chen, Yang Shu et al.
Debiased Distillation for Consistency Regularization
Lu Wang, Liuchi Xu, Xiong Yang et al.
Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li et al.
Debiased Teacher for Day-to-Night Domain Adaptive Object Detection
Yiming Cui, Liang Li, Haibing Yin et al.
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh et al.
Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics
Ben Liu, Tzu-Yuan Lin, Wei Zhang et al.
Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings
Ingroj Shrestha, Padmini Srinivasan
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun, ziyang zhang, Zheng Xu et al.
Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
Kasidit Sermsri, Teerapong Panboonyuen
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Tatzel, Bálint Mucsányi, Osane Hackel et al.
Debiasing Multilingual LLMs in Cross-lingual Latent Space
Qiwei Peng, Guimin Hu, Yekun Chai et al.
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng et al.
Debiasing Online Preference Learning via Preference Feature Preservation
Dongyoung Kim, Jinsung Yoon, Jinwoo Shin et al.
Debiasing Static Embeddings for Hate Speech Detection
Ling Sun, Soyoung Kim, Xiao Dong et al.
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
Daiying Zhao, Xinyu Yang, Hang Chen
Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection
Xingjian Wang, Li Chai, Jiming Chen
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-Agent
Xiaofeng Wang, Zhixin Zhang, Jin Guang Zheng et al.
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
Luke Yoffe, Alfonso Amayuelas, William Yang Wang
Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories
Mareike Lisker, Christina Gottschalk, Helena Mihaljević
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
Xiaolei Wang, Xiaoyang Wang, Huihui Bai et al.
DECAF: A Dynamically Extensible Corpus Analysis Framework
Max Müller-Eberstein, Rob Van Der Goot, Anna Rogers
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
Zijia Lu, A S M Iftekhar, Gaurav Mittal et al.
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
Suyoung Bae, YunSeok Choi, Jee-Hyong Lee