Exploiting periodicity for robustness with multimodal mood pattern models.
*Equal taxpayers Data from wearable sensors (e.g., heart rate, step count) can be used to model mood patterns. We characterize ...
*Equal taxpayers Data from wearable sensors (e.g., heart rate, step count) can be used to model mood patterns. We characterize ...
Agent Workflows are a new perspective in creating dynamic and complex workflows based on business use cases with the help ...
Remarkable performance on different reasoning tasks has been demonstrated by several large language models (LLMs), such as GPT-4, PaLM, and ...
Zero-shot learning is an advanced machine learning technique that allows models to make predictions about tasks without being explicitly trained ...
Recently, there has been increasing interest in improving the generalization of deep networks by regulating the sharpness of the loss ...
The significant computational demands of large language models (LLMs) have hampered their adoption in several sectors. This obstacle has diverted ...
Tencent ai Lab researchers address challenges in the reliability of augmented retrieval language models (RALMs), which can retrieve irrelevant information, ...
An error was reported in the Solidity optimizer via the Ethereum Foundation bounty program, by Christoph Jentzsch. This bug was ...