Awadallah, Ahmed

8 publications

AAAI 2023 ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah

NeurIPSW 2023 FedJETs: Efficient Just-in-Time Personalization with Federated Mixture of Experts Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

ECCV 2022 DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang

NeurIPS 2022 Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao

ECCV 2022 Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang

CVPR 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

NeurIPS 2021 Fairness via Representation Neutralization Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu

NeurIPS 2020 Uncertainty-Aware Self-Training for Few-Shot Text Classification Subhabrata Mukherjee, Ahmed Awadallah