Media Summary: Ian Covert presents his paper on feature importance and model Recording of the Hong Kong Machine Learning This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at ...

Hkml Meetup S3e6 Explaining By - Detailed Analysis & Overview

Ian Covert presents his paper on feature importance and model Recording of the Hong Kong Machine Learning This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at ... Our goal is Humanist Superintelligence — AI designed to serve people, not replace them. At Microsoft Build 2026, Microsoft AI ... Erica Zhang is a Stanford PhD, Jump Trading AI Research Fellow, and former Amazon Applied Scientist. Her work focuses on ...

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HKML Meetup S3E6 - Explaining by Removing: A Unified Framework for Model Explanation by Ian Covert
Hong Kong Machine Learning Meetup Season 3 Episode 1
Hong Kong Machine Learning Meetup S3E5 - Eason Suen: A decade-end analysis of AI Research
AI Research Legend’s Honest Assessment of Where We Are
UUtah CS 6966 Interpretability of LLMs | Spring 2026 | Generating SAE feature descriptions
Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026
TERMS-Bench: Evaluating LLMs in Semi-Verifiable Domains | Erica Zhang
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HKML Meetup S3E6 - Explaining by Removing: A Unified Framework for Model Explanation by Ian Covert

HKML Meetup S3E6 - Explaining by Removing: A Unified Framework for Model Explanation by Ian Covert

Ian Covert presents his paper on feature importance and model

Hong Kong Machine Learning Meetup Season 3 Episode 1

Hong Kong Machine Learning Meetup Season 3 Episode 1

Recording of the Hong Kong Machine Learning

Hong Kong Machine Learning Meetup S3E5 - Eason Suen: A decade-end analysis of AI Research

Hong Kong Machine Learning Meetup S3E5 - Eason Suen: A decade-end analysis of AI Research

HKML

AI Research Legend’s Honest Assessment of Where We Are

AI Research Legend’s Honest Assessment of Where We Are

This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at ...

UUtah CS 6966 Interpretability of LLMs | Spring 2026 | Generating SAE feature descriptions

UUtah CS 6966 Interpretability of LLMs | Spring 2026 | Generating SAE feature descriptions

Notes: https://drive.google.com/file/d/125hZQEWbhwXbD5Pym9v-JBfXq6WnKajt/view?usp=sharing.

Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026

Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026

Our goal is Humanist Superintelligence — AI designed to serve people, not replace them. At Microsoft Build 2026, Microsoft AI ...

TERMS-Bench: Evaluating LLMs in Semi-Verifiable Domains | Erica Zhang

TERMS-Bench: Evaluating LLMs in Semi-Verifiable Domains | Erica Zhang

Erica Zhang is a Stanford PhD, Jump Trading AI Research Fellow, and former Amazon Applied Scientist. Her work focuses on ...