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05/26/2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Large language models(LLMs) have sparked a new wave of exciting AI appli...
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12/29/2022
Learning Multimodal Data Augmentation in Feature Space
The ability to jointly learn from multiple modalities, such as text, aud...
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06/27/2021
DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation
We propose a method of Category-level 6D Object Pose and Size Estimation...
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06/21/2021
Efficient Inference via Universal LSH Kernel
Large machine learning models achieve unprecedented performance on vario...
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06/11/2021
Efficient and Less Centralized Federated Learning
With the rapid growth in mobile computing, massive amounts of data and c...
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09/21/2020
Conditional Automated Channel Pruning for Deep Neural Networks
Model compression aims to reduce the redundancy of deep networks to obta...
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07/02/2020
Climbing the WOL: Training for Cheaper Inference
Efficient inference for wide output layers (WOLs) is an essential yet ch...
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01/03/2019