Browsing: ML News
By additional pre-training using image-text pairings or fine-tuning them with specialized visual instruction tuning datasets, Large Language Models may dive into the multimodal domain, giving rise…
Significant strides have been made in artificial intelligence and mathematical problem-solving, especially with the advent of large language models. However, these models still grapple with complex…
LLMs have achieved state-of-the-art results in various complex tasks, such as math reasoning, summarization, conversations, schema induction, and domain-specific problem-solving. The success of LLMs hinges on…
The field of generative modeling has witnessed significant advancements in recent years, with researchers striving to create models capable of generating high-quality images. However, these models…
In computer vision and human-computer interaction, the critical task of face orientation estimation has emerged as a pivotal component with multifaceted applications. One particularly notable domain…
Research focuses on categorizing human facial images by emotions through facial expression recognition (FER) using powerful deep neural networks (DNNs). However, accurately classifying unlearned input, particularly…
Reward shaping, which seeks to develop reward functions that more effectively direct an agent towards desirable behaviors, is still a long-standing difficulty in reinforcement learning (RL).…
Music streaming services have grown to be an essential part of our digital landscape. Differentiating between instrumental music, which is music without voices, and vocal music…
In the ever-evolving world of podcasting, language barriers have long stood as a formidable obstacle to the global reach of audio content. However, recent developments signal…
Some of the latest AI research projects address a fundamental issue in the performance of large auto-regressive language models (LLMs) such as GPT-3 and GPT-4. This…