Somemodelcompression methods have been successfully applied to image classification and detection or language models, but there has been very little work compressing generative adversarial networks(GANs) performing complextasks.

ItisshownthatQKFormer achieves significantly superior performance over existing state-of-the-art SNN models on various mainstream datasets.

In appendix, we Reward OptimizationWepropose .

In this work, we propose Glow-TTS, a flow-based generativemodel for parallel TTS that does not require anyexternal aligner.

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Evidence is mounting that Elon Musk's decision to deny Russian forces access to his Starlink satellite-based internet service has blunted Moscow's advance, caused confusion among Russian soldiers and handed an advantage to Ukraine's defenders. And what can Ukraine's military achieve in the meantime? The Russians lost their ability to control the field, a Ukrainian drone operator who goes by the callsign Giovanni told us. I think they lost 50% of their capacity for offence, he said. That's what the numbers show.

Therefore, we do not13 expect that alternativelearning algorithms likeA2C orDQN would reveal interesting insights into the dynamics of14 ourenvironment. R5: You state we did a reasonably good job in describing the tasks and environment to someone unfamiliar with48 NetHack andthatwesubmitted awellwrittenmanuscript. Without specifics astowhy,wecan only say that50 we patently disagree: Throughout the paper, we make a detailed argument as to the benefits of NLE over popular51 benchmarkenvironments.