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08/30/2023
MerA: Merging Pretrained Adapters For Few-Shot Learning
Adapter tuning, which updates only a few parameters, has become a mainst...
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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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06/25/2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Despite the fact that adversarial training has become the de facto metho...
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02/08/2023
Improving the Model Consistency of Decentralized Federated Learning
To mitigate the privacy leakages and communication burdens of Federated ...
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05/28/2022
Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis
Distributed adaptive stochastic gradient methods have been widely used f...
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04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
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12/13/2021
DGL-GAN: Discriminator Guided Learning for GAN Compression
Generative Adversarial Networks (GANs) with high computation costs, e.g....
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12/07/2021
Federated Causal Discovery
Causal discovery aims to learn a causal graph from observational data. T...
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07/20/2021
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Collecting large-scale annotated satellite imagery datasets is essential...
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05/09/2021
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
Single Image Super-Resolution (SISR) tasks have achieved significant per...
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06/16/2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are formulated as minimax game pr...
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07/30/2018
