Tag: adversarial machine learning
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DPRM: Optimizing Token Ordering in Diffusion Language Models
Discover DPRM, a plug-in module improving token ordering in diffusion language models for better AI text generation and molecular design.
Preventing Catastrophic Overfitting in Fast Adversarial Training
Discover new insights and strategies to prevent catastrophic overfitting in fast adversarial training for more robust neural networks.
Self-Abstraction Learning for Stable Deep Neural Training
Discover how Self-Abstraction Learning improves stability and effectiveness in training deep neural networks by addressing common optimization challenges.
RAS: Reliable Metric for Automatic Speech Recognition
Discover RAS, a new reliability-focused metric improving automatic speech recognition by balancing informativeness and error aversion in ASR systems.
Prompted Weak Supervision for Meme Hate Speech Detection
Discover how prompted weak supervision improves detection of homophobic and transphobic hate speech in memes across multiple languages.