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08/19/2023
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
The recommendation ecosystem involves interactions between recommender s...
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08/18/2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Stochastic gradient descent (SGD) performed in an asynchronous manner pl...
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05/26/2023
XGrad: Boosting Gradient-Based Optimizers With Weight Prediction
In this paper, we propose a general deep learning training framework XGr...
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05/25/2023
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training
Deep learning is experiencing a rise in foundation models that are expec...
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03/30/2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Solving complicated AI tasks with different domains and modalities is a ...
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03/14/2023
Rotation-Invariant Transformer for Point Cloud Matching
The intrinsic rotation invariance lies at the core of matching point clo...
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09/23/2022
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks
Prompt learning is an effective paradigm that bridges gaps between the p...
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09/16/2022
ConvFormer: Closing the Gap Between CNN and Vision Transformers
Vision transformers have shown excellent performance in computer vision ...
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11/16/2021
Towards Generating Real-World Time Series Data
Time series data generation has drawn increasing attention in recent yea...
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10/18/2021
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks
Distributed data-parallel training has been widely used for natural lang...
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04/23/2021
Decentralized Federated Averaging
Federated averaging (FedAvg) is a communication efficient algorithm for ...
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05/05/2017
