Language models are known to absorb biases from their training data, leading to predictions driven by statistical regularities rather than semantic relevance. We investigate the impact of these biases on answer choice preferences in the Massive Multi...
Vision-language modeling (VLM) aims to bridge the information gap between images and natural language. Under the new paradigm of first pre-training on massive image-text pairs and then fine-tuning on task-specific data, VLM in the remote sensing doma...
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Ashley Zahabian, who is NOT a mental health professional, has no training or degrees in psychology- is an ECONOMICS grad, markets her BPD “services” on social media such as tiktok. I came across h...
In the real open world, data tends to follow long-tailed class distributions, motivating the well-studied long-tailed recognition (LTR) problem. Naive training produces models that are biased toward common classes in terms of higher accuracy. The key...
In this paper a comparative study of the performance of three Convolutional Neural Network models, ResNet50, Inception v3 and VGG19 for classification of skin images with lesions affected by psoriasis is presented. The images used for training and va...
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper. (⭐ 114)
OpenMMLab Pre-training Toolbox and Benchmark (⭐ 3832)
Partial differential equations (PDEs) govern a wide range of physical systems, but solving them efficiently remains a major challenge. The idea of a scientific foundation model (SciFM) is emerging as a promising tool for learning transferable represe...
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo (⭐ 3106)
Generative pre-trained large language models (LLMs) have demonstrated impressive performance over a wide range of tasks, thanks to the unprecedented amount of data they have been trained on. As established scaling laws indicate, LLMs' future performa...
Recently, 3D Gaussian splatting (3D-GS) has gained popularity in novel-view scene synthesis. It addresses the challenges of lengthy training times and slow rendering speeds associated with Neural Radiance Fields (NeRFs). Through rapid, differentiable...
Career portfolios help document education, work samples and skills. People use career portfolios to apply for jobs, apply to college or training programs
Autonomous vehicles require strong detection systems to be safe for humans. This systems must to detect all the elements existing in the road systems, to have the ability of response in any situation. A good solution for this purpose, is the use of semantic se…
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For computer vision applications, prior works have shown the efficacy of reducing numeric precision of model parameters (network weights) in deep neural networks. Activation maps, however, occupy a large memory footprint during both the training and...
Spaces. Agreed with the Ministry of Human Resources and Emiratization (MOHRE) to provide training and upskilling for 18,000 Emirati students through