Top Papers
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
huggingface/pytorch-transformers
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In this work, we take the first step to exploit the pre-trained (unfine-tuned) weights to mitigate backdoors in fine-tuned language models.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Factual Inconsistency Detection in Chart Captioning
Image Captioning
+1
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction
Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extraction (MRE) necessitate the fundamental reasoning capacity for intricate linguistic and multimodal comprehension.
pytorch
pytorch/pytorch
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NeurIPS 2019
Tensors and Dynamic neural networks in Python with strong GPU acceleration
High-Resolution Image Synthesis with Latent Diffusion Models
compvis/stable-diffusion
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CVPR 2022
By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.
Ranked #2 on
Layout-to-Image Generation
on COCO-Stuff 256x256
Gender Classification and Bias Mitigation in Facial Images
We worked to increase classification accuracy and mitigate algorithmic biases on our baseline model trained on the augmented benchmark database.
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors.
Analyzing Covariate Influence on Gender and Race Prediction from Near-Infrared Ocular Images
Recent research has explored the possibility of automatically deducing information such as gender, age and race of an individual from their biometric data.
