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07/31/2023
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Can we better anticipate an actor's future actions (e.g. mix eggs) by kn...
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07/26/2023
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
The quality of training data impacts the performance of pre-trained larg...
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06/19/2023
COLE: A Column-based Learned Storage for Blockchain Systems
Blockchain systems suffer from high storage costs as every node needs to...
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05/11/2023
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Object detection (OD) is crucial to autonomous driving. Unknown objects ...
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03/13/2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
The high computational and memory requirements of large language model (...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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07/20/2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Federated learning (FL) enables distributed devices to jointly train a s...
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06/12/2022
Stochastic Gradient Descent without Full Data Shuffle
Stochastic gradient descent (SGD) is the cornerstone of modern machine l...
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04/04/2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Transfer learning can be seen as a data- and compute-efficient alternati...
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09/18/2021
Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation
Semantic segmentation of fine-resolution urban scene images plays a vita...
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01/24/2021
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
Classification of EEG-based motor imagery (MI) is a crucial non-invasive...
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04/30/2020
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
In this work, we present a text generation approach with multi-attribute...
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03/19/2020
RAB: Provable Robustness Against Backdoor Attacks
Recent studies have shown that deep neural networks (DNNs) are vulnerabl...
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04/20/2019
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]
It is widely recognized that the data quality affects machine learning (...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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03/17/2018
Decentralization Meets Quantization
Optimizing distributed learning systems is an art of balancing between c...
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05/31/2016
