Deep Learning
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Recently, large language models (LLMs) ( e.g., GPT -3 and ChatGPT) have shown remarkable zero-shot and few-shot performance on various tasks [
Coda: An End-to-End Neural Program Decompiler
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao
Neural Information Processing Systems http://nips.cc/
Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
Non-autoregressive Transformers (NA Ts) are recently applied in direct speech-to-speech translation systems, which convert speech across different languages without intermediate text data.
Parameter-freeDynamicGraphEmbedding forLinkPrediction
Dynamic interaction graphs havebeenwidely adopted tomodeltheevolution of user-item interactions over time.
Reusable Slotwise Mechanisms
However, achieving this capability necessitates not only an effective scene representation but also an understanding of the mechanisms governing interactions among object subsets. Recent studies have made significant progress in representing scenes using object slots.
Reusable Slotwise Mechanisms
However, achieving this capability necessitates not only an effective scene representation but also an understanding of the mechanisms governing interactions among object subsets. Recent studies have made significant progress in representing scenes using object slots.
Visual Sequence Learning in Hierarchical Prediction Networks and Primate Visual Cortex
Neural Information Processing Systems http://nips.cc/
