Synced Review

Building a general-purpose unified model that can solve diverse tasks in different modalities while maintaining high performance is a…

Large-scale language models (LLMs) have achieved impressive performance in automated code generation by bootstrapping human knowledge and…

The effective modelling of long-term dependencies enables conditioning new model outputs on previous inputs and is critical when dealing…

The conventional approach for improving the decision-making of deep reinforcement learning (RL) agents is to gradually amortize the useful…

Encoder-decoder models have become the preferred approach for a wide range of language-related tasks. Although some common logical…

Neural network-based approaches have made significant progress on video compression over the last several years, reaching performance on…

Deep neural networks have recently hinted at their potential for processing speech in a manner more like the human brain and generating…

As AI systems increasingly move from the cloud to devices, identifying suitable neural network backbones for mobile device deployment has…

Powered by their ever-increasing scale, today’s large language models have shown breakthrough capabilities beyond natural language…