Tahseen Rabbani

According to our database, Tahseen Rabbani authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise.

Kyle Sang, Tahseen Rabbani, Furong Huang

CoRR, 2024

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang

CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.

Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.

Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang

CoRR, 2024

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).

Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing.

Tahseen Rabbani, Marco Bornstein, Furong Huang

CoRR, 2023

Large-Scale Distributed Learning via Private On-Device LSH.

Tahseen Rabbani, Marco Bornstein, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication.

Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching.

Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang

CoRR, 2021

Practical and Fast Momentum-Based Power Methods.

Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks.

Alexander Reustle, Tahseen Rabbani, Furong Huang

Proceedings of the Intelligent Systems and Applications, 2020