Exclusive Content:

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

“Revealing Weak Infosec Practices that Open the Door for Cyber Criminals in Your Organization” • The Register

Warning: Stolen ChatGPT Credentials a Hot Commodity on the...

That review is incredibly self-referential

Navigating the Meta-Review: Approaches and Considerations for NeurIPS 2019 Area Chairs

Overall, being an area chair for NeurIPS 2019 has been an interesting experience so far. The evolution of the reviewing process and the increase in submissions have definitely added a new layer of complexity to the role. As an AC, there are different approaches to take when it comes to the meta-review process. One option is to make the meta-review similar to an associate editor’s decision informed by reviews, responses, and discussions. This gives the AC more flexibility but may also introduce biases.

On the other hand, a panel summary approach, similar to the one used in NSF reviews, could provide a more objective and consensus-driven evaluation of the paper. This model involves a discussion led by a primary discussant and a neutral scribe who drafts a summary of the discussion for consensus. While this model may lead to more neutral reviews, it could also be challenging to implement due to varying levels of reviewer engagement.

Regardless of the approach taken, running the meta-review past the reviewers for feedback and edits could be beneficial in refining the final review. Ultimately, the goal of the meta-review is to provide a comprehensive and fair evaluation of the paper, incorporating discussions, responses, and diverse opinions. By finding the right balance between flexibility and objectivity, the AC can ensure a productive and effective reviewing process for NeurIPS 2019.

Latest

Creating a Personal Productivity Assistant Using GLM-5

From Idea to Reality: Building a Personal Productivity Agent...

Lawsuits Claim ChatGPT Contributed to Suicide and Psychosis

The Dark Side of AI: ChatGPT's Alleged Role in...

Japan’s Robotics Sector Hits Record Orders Amid Growing Global Labor Shortages

Japan's Robotics Boom: Navigating Labor Shortages and Global Competition Add...

Analysis of Major Market Segments Fueling the Digital Language Sector

Exploring the Rapid Growth of the Digital Language Learning...

Don't miss

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

Investing in digital infrastructure key to realizing generative AI’s potential for driving economic growth | articles

Challenges Hindering the Widescale Deployment of Generative AI: Legal,...

Creating a Personal Productivity Assistant Using GLM-5

From Idea to Reality: Building a Personal Productivity Agent in Just Five Minutes with GLM-5 AI A Revolutionary Approach to Application Development This headline captures the...

Creating Smart Event Agents with Amazon Bedrock AgentCore and Knowledge Bases

Deploying a Production-Ready Event Assistant Using Amazon Bedrock AgentCore Transforming Conference Navigation with AI Introduction to Event Assistance Challenges Building an Intelligent Companion with Amazon Bedrock AgentCore Solution...

A Comprehensive Guide to Machine Learning for Time Series Analysis

Mastering Feature Engineering for Time Series: A Comprehensive Guide Understanding Feature Engineering in Time Series Data The Essential Role of Lag Features in Time Series Analysis Unpacking...