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07/14/2023
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus
Large language models (LLMs) have achieved significant performance in ma...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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02/27/2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Federated learning (FL) has emerged as a new paradigm for privacy-preser...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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06/26/2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
The wide spread of fake news is increasingly threatening both individual...
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05/15/2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Pseudo labeling and consistency regularization approaches with confidenc...
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12/01/2021
Federated Learning with Adaptive Batchnorm for Personalized Healthcare
There is a growing interest in applying machine learning techniques for ...
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10/09/2021
Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition
Self-supervised pre-training has dramatically improved the performance o...
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02/25/2021
