Канал: Harvard Medical AI | Rajpurkar Lab

Harvard Medical AI: Michelle Qin on "PEER: A Collaborative Language Model"

Harvard Medical AI: Michelle Qin on "PEER: A Collaborative Language Model"

Harvard Medical AI: Anirudh Sriram on "Cross-modal Memory Networks for Radiology Report Generation"

Harvard Medical AI: Anirudh Sriram on "Cross-modal Memory Networks for Radiology Report Generation"

Harvard Medical AI: Liyue Shen on "GIT: A Generative Image-to-text Transformer for Vision& Language"

Harvard Medical AI: Liyue Shen on "GIT: A Generative Image-to-text Transformer for Vision& Language"

Harvard Medical AI: Sathvik B on "Generating customized prompts for zero-shot image classification"

Harvard Medical AI: Sathvik B on "Generating customized prompts for zero-shot image classification"

Harvard Medical AI: Aman Kansal on "Pin the Memory: Learning to Generalize Semantic Segmentation"

Harvard Medical AI: Aman Kansal on "Pin the Memory: Learning to Generalize Semantic Segmentation"

Harvard Medical AI: Shreya Johri on "AutoEncoding Knowledge Graph for Unsupervised Medical Reports"

Harvard Medical AI: Shreya Johri on "AutoEncoding Knowledge Graph for Unsupervised Medical Reports"

Harvard Medical AI: Luca Weishaupt on "SMALLCAP: Image Captioning with Retrieval Augmentation"

Harvard Medical AI: Luca Weishaupt on "SMALLCAP: Image Captioning with Retrieval Augmentation"

AlphaTensor by DeepMind Explained – Talk by Emma Chen at Harvard Medical AI Lab

AlphaTensor by DeepMind Explained – Talk by Emma Chen at Harvard Medical AI Lab

Harvard Medical AI: Sameer Khanna on "Benchmarking Deep Learning on Diabetic Retinopathy Detection"

Harvard Medical AI: Sameer Khanna on "Benchmarking Deep Learning on Diabetic Retinopathy Detection"

Harvard Medical AI: Sina Hartung on "Reinforce. Learning at the Edge of the Statistical Precipice"

Harvard Medical AI: Sina Hartung on "Reinforce. Learning at the Edge of the Statistical Precipice"

Harvard Medical AI: Morgan Sanchez on Tools and Best Practices for Collaborative Coding

Harvard Medical AI: Morgan Sanchez on Tools and Best Practices for Collaborative Coding

Harvard Medical AI: Oishi Banerjee on "A Unified Model for Vision, Language, and Multi-Modal Tasks"

Harvard Medical AI: Oishi Banerjee on "A Unified Model for Vision, Language, and Multi-Modal Tasks"

Harvard Medical AI: Kathryn Wantlin on Identifying and Mitigating Model Failures

Harvard Medical AI: Kathryn Wantlin on Identifying and Mitigating Model Failures

Harvard Medical AI: Vignav Ramesh on "Language meets Vision Transformer in Med. Image Segmentation"

Harvard Medical AI: Vignav Ramesh on "Language meets Vision Transformer in Med. Image Segmentation"

Harvard Medical AI: Nathan Chi on "Semantics to Improve Biomedical Vision-Language Processing"

Harvard Medical AI: Nathan Chi on "Semantics to Improve Biomedical Vision-Language Processing"

Harvard Medical AI: Nikhil Datar on Post-Research Deployment Challenges for Medical AI

Harvard Medical AI: Nikhil Datar on Post-Research Deployment Challenges for Medical AI

Harvard Medical AI: Priya Khandelwal on Interpretable and Explainable AI

Harvard Medical AI: Priya Khandelwal on Interpretable and Explainable AI

Harvard Medical AI: Vish Rao on "Decoder Denoising Pretraining for Semantic Segmentation"

Harvard Medical AI: Vish Rao on "Decoder Denoising Pretraining for Semantic Segmentation"

AI Research Intensive: Remote Working by Chenwei Wu

AI Research Intensive: Remote Working by Chenwei Wu

AI Research Intensive: Comparing Two AI Models by Xiaoli Yang

AI Research Intensive: Comparing Two AI Models by Xiaoli Yang

AI Research Intensive: Deploying your AI model by Vignav Ramesh

AI Research Intensive: Deploying your AI model by Vignav Ramesh

AI Research Intensive: Software Engineering Fundamentals by Julie Chen

AI Research Intensive: Software Engineering Fundamentals by Julie Chen

AI Research Intensive: Basics of Transformers with Ryan Chi

AI Research Intensive: Basics of Transformers with Ryan Chi

AI Research Intensive: Cleaning up your code with Ethan Chi

AI Research Intensive: Cleaning up your code with Ethan Chi

AI Research Intensive: Transformers in Practice with Nathan Chi

AI Research Intensive: Transformers in Practice with Nathan Chi

AI Research Intensive: PyTorch for NLP Intro with Vish Rao

AI Research Intensive: PyTorch for NLP Intro with Vish Rao

AI Research Intensive: PyTorch Lightning for Computer Vision with Jon Williams

AI Research Intensive: PyTorch Lightning for Computer Vision with Jon Williams

AI Research Intensive: State of AI by Lucy He

AI Research Intensive: State of AI by Lucy He

AI Research Intensive: Walkthrough of a deep learning codebase with Mark Endo

AI Research Intensive: Walkthrough of a deep learning codebase with Mark Endo

AI Research Intensive: Creating high quality plots by Dr. Zahra Shakeri

AI Research Intensive: Creating high quality plots by Dr. Zahra Shakeri

AI Research Intensive: Performing a Literature Review by Ryan Han

AI Research Intensive: Performing a Literature Review by Ryan Han

AI Research Intensive: Writing an Abstract, Introduction and Discussion Section by Oishi Banerjee

AI Research Intensive: Writing an Abstract, Introduction and Discussion Section by Oishi Banerjee

AI Research Intensive: Critiquing and Responding to Reviewers with Dr. Julian Acosta

AI Research Intensive: Critiquing and Responding to Reviewers with Dr. Julian Acosta

AI Research Intensive: Writing Methods and Results Sections by Sameer Khanna

AI Research Intensive: Writing Methods and Results Sections by Sameer Khanna

AI Research Intensive: Evaluating your novel model by Elaine Liu and Xiaoli Yang

AI Research Intensive: Evaluating your novel model by Elaine Liu and Xiaoli Yang

AI Research Intensive: Training your novel model by Kathy Yu

AI Research Intensive: Training your novel model by Kathy Yu

Harvard Medical AI: Kyle Alford on "Improving Semi-Supervised Learning with Self-Supervision"

Harvard Medical AI: Kyle Alford on "Improving Semi-Supervised Learning with Self-Supervision"

Harvard Medical AI: Jon Williams on "Language Models are General-Purpose Interfaces"

Harvard Medical AI: Jon Williams on "Language Models are General-Purpose Interfaces"

Harvard Medical AI: Lucy He on "Flamingo: a Visual Language Model for Few-Shot Learning"

Harvard Medical AI: Lucy He on "Flamingo: a Visual Language Model for Few-Shot Learning"

Harvard Medical AI: Brian Soetikno presents a DICOM tutorial

Harvard Medical AI: Brian Soetikno presents a DICOM tutorial

Harvard Medical AI: Morgan Sanchez on "GATO: A Generalist Agent"

Harvard Medical AI: Morgan Sanchez on "GATO: A Generalist Agent"

Harvard Medical AI: Jaehwan Jeong on "Scaling Up Vision-Language Pre-training for Image Captioning"

Harvard Medical AI: Jaehwan Jeong on "Scaling Up Vision-Language Pre-training for Image Captioning"

Harvard Medical AI: Viet Vu on "InstructGPT: Training Language Models To Follow Instructions"

Harvard Medical AI: Viet Vu on "InstructGPT: Training Language Models To Follow Instructions"

Harvard Medical AI: Elaine Liu on "CoCa: Contrastive Captioners are Image-Text Foundation Models"

Harvard Medical AI: Elaine Liu on "CoCa: Contrastive Captioners are Image-Text Foundation Models"

Harvard Medical AI: Arvind Saligrama on "Rethinking Pre-training and Self-training"

Harvard Medical AI: Arvind Saligrama on "Rethinking Pre-training and Self-training"

Harvard Medical AI: Vrishab Krishna on "Statistical Comparisons of Classifiers on Multiple Datasets"

Harvard Medical AI: Vrishab Krishna on "Statistical Comparisons of Classifiers on Multiple Datasets"

Harvard Medical AI: Chenwei Wu on "Ensemble of Averages: Improving Model Selection"

Harvard Medical AI: Chenwei Wu on "Ensemble of Averages: Improving Model Selection"

Harvard Medical AI: Kathryn Wantlin on "Emerging Properties in Self-Supervised Vision Transformers"

Harvard Medical AI: Kathryn Wantlin on "Emerging Properties in Self-Supervised Vision Transformers"

Harvard Medical AI: Rayan Krishnan on VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Harvard Medical AI: Rayan Krishnan on VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Harvard Medical AI: Kathryn Wantlin on Unlabeled Data to Predict Out-of-Distribution performance

Harvard Medical AI: Kathryn Wantlin on Unlabeled Data to Predict Out-of-Distribution performance

Harvard Medical AI: Shreya Shankar presents on Challenges in Real-Time ML Monitoring

Harvard Medical AI: Shreya Shankar presents on Challenges in Real-Time ML Monitoring

Harvard Medical AI: Chenwei Wu on Docker for ML Practitioners

Harvard Medical AI: Chenwei Wu on Docker for ML Practitioners

Harvard Medical AI: Tom Jin presents AI deployment on AWS

Harvard Medical AI: Tom Jin presents AI deployment on AWS

Harvard Medical AI: Adam Yala presents Machine learning for Personalized Screening

Harvard Medical AI: Adam Yala presents Machine learning for Personalized Screening

Harvard Medical AI: Dr. Andrew Li presents AI and Colonoscopy

Harvard Medical AI: Dr. Andrew Li presents AI and Colonoscopy

Harvard Medical AI: Dr. Brian Soetikno presents AI in Ophthalmology

Harvard Medical AI: Dr. Brian Soetikno presents AI in Ophthalmology

Harvard Medical AI: Bryan Gopal presents a PyTorch Lightning tutorial

Harvard Medical AI: Bryan Gopal presents a PyTorch Lightning tutorial

Harvard Medical AI: Mark Endo presents "Masked Autoencoders Are Scalable Vision Learners"

Harvard Medical AI: Mark Endo presents "Masked Autoencoders Are Scalable Vision Learners"

Harvard Medical AI: Alex Tamkin presents Domain-Agnostic Self-Supervised Learning

Harvard Medical AI: Alex Tamkin presents Domain-Agnostic Self-Supervised Learning

Harvard Medical AI: Elaine Liu presents ALBEF – Align before Fuse Vision and Language Representation

Harvard Medical AI: Elaine Liu presents ALBEF – Align before Fuse Vision and Language Representation

Harvard Medical AI: Kyle Alford presents Data2vec by Meta AI

Harvard Medical AI: Kyle Alford presents Data2vec by Meta AI

Harvard Medical AI: Zach Harned on the FDA, AI/ML, and medical devices

Harvard Medical AI: Zach Harned on the FDA, AI/ML, and medical devices

Harvard Medical AI: Vivek Shankar on GLIDE Image Generation with Text-Guided Diffusion Models

Harvard Medical AI: Vivek Shankar on GLIDE Image Generation with Text-Guided Diffusion Models

Harvard Medical AI: Kathy Yu on "Geometric deep learning on molecular representations"

Harvard Medical AI: Kathy Yu on "Geometric deep learning on molecular representations"

Harvard Medical AI: Katherine Tian presents an introduction to Diffusion Models

Harvard Medical AI: Katherine Tian presents an introduction to Diffusion Models

Harvard Medical AI: Dr. Julian Acosta on "Advancing ... privacy-preserving collaboration in [AI]"

Harvard Medical AI: Dr. Julian Acosta on "Advancing ... privacy-preserving collaboration in [AI]"

Harvard Medical AI: Sameer Sundrani presents "Oscar: ... Pre-training for Vision-Language Tasks"

Harvard Medical AI: Sameer Sundrani presents "Oscar: ... Pre-training for Vision-Language Tasks"

Harvard Medical AI: Aditya Gulati presents an introduction to JAX

Harvard Medical AI: Aditya Gulati presents an introduction to JAX

Harvard Medical AI: Xiaoli Yang presents "LiT: Zero-Shot Transfer with Locked-image Text Tuning"

Harvard Medical AI: Xiaoli Yang presents "LiT: Zero-Shot Transfer with Locked-image Text Tuning"