Schedule
Official schedule.
The workshop will take place on April 29th during ICLR 2022.
Time (UTC) | Session |
---|---|
12h00 - 12h15 | Welcome Note |
12h15 - 13h00 | Invited Talk: Thomas Wolf The challenges of open evaluation at Hugging Face: from open-source evaluation libraries to evaluating +30k hosted models and models of 176B parameters |
13h00 - 13h45 | Invited Talk: Frank Schneider Improving Optimizer Evaluation in Deep Learning |
13h45 - 14h30 | Invited Talk: Rotem Dror A Statistical Analysis of Automatic Evaluation Metrics for Summarization |
14h30 - 14h50 | Contributed Talks (x2) |
14h50 - 15h50 | Panel: Reproducibility and Rigor in ML Rotem Dror, Sara Hooker, Koustuv Sinha, Frank Schneider and Gaël Varoquaux |
15h50 - 16h35 | 1st Poster Session |
16h35 - 17h20 | Invited Talk: James Evans AI Advance and the Paradox of Sustained Innovation |
17h20 - 18h20 | Panel: Slow vs Fast Science Michela Paganini, Chelsea Finn, James Evans, Russel Poldrack and Oriol Vinyals |
18h20 - 18h50 | Coffee Break |
18h50 - 19h35 | Invited Talk: Melanie Mitchell Beyond Accuracy: How to Evaluate Understanding on Conceptual Abstraction Benchmarks |
19h35 - 20h20 | Invited Talk: Katherine Heller A framework for improved ML evaluations |
20h20 - 21h05 | Invited Talk: Corinna Cortes Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment |
21h05 - 21h35 | Contributed Talks (x3) |
21h35 - 22h35 | Panel: Incentives for better evaluation Corinna Cortes, John Langford, Kyunghyun Cho and Yoshua Bengio |
22h35 - 23h35 | 2nd Poster Session |
23h35 - 23h50 | Closing Remarks |