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ORCIDTahseen Rabbani
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2020 – today
- 2024
[b1]Tahseen Rabbani:
Efficient Models and Learning Strategies for Resource-Constrained Systems. University of Maryland, College Park, MD, USA, 2024- [c7]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - [c6]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). ICML 2024 - [i11]Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang:
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR abs/2401.03384 (2024) - [i10]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - [i9]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR abs/2404.01568 (2024) - [i8]Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang:
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR abs/2405.17535 (2024) - [i7]Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR abs/2406.15575 (2024) - [i6]Kyle Sang, Tahseen Rabbani, Furong Huang:
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. CoRR abs/2409.13235 (2024) - [i5]Minghui Liu, Tahseen Rabbani, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Brian J. Gravelle, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos:
HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing. CoRR abs/2412.16187 (2024) - 2023
- [c5]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR 2023 - [c4]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS 2023 - [i4]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR abs/2306.02563 (2023) - 2022
- [c3]Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS 2022 - [i3]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Singh Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. CoRR abs/2210.14026 (2022) - 2021
- [c2]Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang:
Practical and Fast Momentum-Based Power Methods. MSML 2021: 721-756 - [i2]Tahseen Rabbani, Apollo Jain, Arjun Rajkumar, Furong Huang:
Practical and Fast Momentum-Based Power Methods. CoRR abs/2108.09264 (2021) - [i1]Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang:
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. CoRR abs/2109.08346 (2021) - 2020
- [c1]Alexander Reustle, Tahseen Rabbani, Furong Huang:
Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks. IntelliSys (1) 2020: 468-487
Coauthor Index
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