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2020 – today
- 2024
[c8]Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh:
FrameQuant: Flexible Low-Bit Quantization for Transformers. ICML 2024- [c7]Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh:
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. ICML 2024 - [i9]Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh:
FrameQuant: Flexible Low-Bit Quantization for Transformers. CoRR abs/2403.06082 (2024) - [i8]Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh:
LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR abs/2403.07221 (2024) - [i7]Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh:
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. CoRR abs/2403.07339 (2024) - [i6]Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen:
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. CoRR abs/2406.09416 (2024) - [i5]Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Shen Li, Yong Li, Fei Chao, Zhanpeng Zeng, Rongrong Ji:
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers. CoRR abs/2412.16553 (2024) - 2023
- [c6]Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh:
Controlled Differential Equations on Long Sequences via Non-standard Wavelets. ICML 2023: 26820-26836 - [c5]Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh:
LookupFFN: Making Transformers Compute-lite for CPU inference. ICML 2023: 40707-40718 - [c4]Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng:
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS 2023 - [i4]Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng:
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR abs/2305.04241 (2023) - 2022
- [c3]Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh:
Multi Resolution Analysis (MRA) for Approximate Self-Attention. ICML 2022: 25955-25972 - [i3]Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh:
Multi Resolution Analysis (MRA) for Approximate Self-Attention. CoRR abs/2207.10284 (2022) - 2021
- [c2]Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. AAAI 2021: 14138-14148 - [c1]Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh:
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. ICML 2021: 12321-12332 - [i2]Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. CoRR abs/2102.03902 (2021) - [i1]Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh:
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. CoRR abs/2111.09714 (2021)
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