activity
20142026
most citedVisualizing and Understanding Recurrent Networks

873 citations · 2.1k across the 9 of their papers we have counts for

collaborators

9 papers

cs.ET2026

Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)

Nilesh jain, Rohit Yadav, Andrej Karpathy

Large language models are increasingly integrated into academic writing workflows; however, the most widely used \LaTeX\ editors remain AI-peripheral -- offering compilation and co…

cs.CL2025

Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems

Shang-Chi Tsai, Yun-Nung Chen

With the advancement of large language models, many dialogue systems are now capable of providing reasonable and informative responses to patients' medical conditions. However, whe…

cs.CL2024★ 164 cited

GPT-4o System Card

OpenAI, :, Aaron Hurst +416

GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's…

cs.LG2017★ 75 cited

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Tim Salimans, Andrej Karpathy, Xi Chen +1

PixelCNNs are a recently proposed class of powerful generative models with tractable likelihood. Here we discuss our implementation of PixelCNNs which we make available at https://…

cs.CV2015★ 83 cited

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Justin Johnson, Andrej Karpathy, Li Fei-Fei

We introduce the dense captioning task, which requires a computer vision system to both localize and describe salient regions in images in natural language. The dense captioning ta…

cs.LG2015★ 873 cited

Visualizing and Understanding Recurrent Networks

Andrej Karpathy, Justin Johnson, Li Fei-Fei

Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoying renewed interest as a result of successful applications in a wide rang…

cs.CV2014★ 149 cited

Deep Visual-Semantic Alignments for Generating Image Descriptions

Andrej Karpathy, Li Fei-Fei

We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence descriptions to learn abou…

cs.CV2014★ 53 cited

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky, Jia Deng, Hao Su +9

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The ch…

cs.CV2014★ 724 cited

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

Andrej Karpathy, Armand Joulin, Li Fei-Fei

We introduce a model for bidirectional retrieval of images and sentences through a multi-modal embedding of visual and natural language data. Unlike previous models that directly m…