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Poster
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Tue 9:00 |
Is Out-of-Distribution Detection Learnable? Zhen Fang · Yixuan Li · Jie Lu · Jiahua Dong · Bo Han · Feng Liu |
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Poster
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Confidence-based Reliable Learning under Dual Noises Peng Cui · Yang Yue · Zhijie Deng · Jun Zhu |
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Poster
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Thu 9:00 |
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness Francesco Pinto · Harry Yang · Ser Nam Lim · Philip Torr · Puneet Dokania |
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Poster
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Tue 9:00 |
Adversarial training for high-stakes reliability Daniel Ziegler · Seraphina Nix · Lawrence Chan · Tim Bauman · Peter Schmidt-Nielsen · Tao Lin · Adam Scherlis · Noa Nabeshima · Benjamin Weinstein-Raun · Daniel de Haas · Buck Shlegeris · Nate Thomas |
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Poster
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Wed 9:00 |
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning Vindula Jayawardana · Catherine Tang · Sirui Li · Dajiang Suo · Cathy Wu |
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Poster
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Tue 14:00 |
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor Salim I. Amoukou · Nicolas Brunel |
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Poster
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Tue 14:00 |
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation Arnaud Delaunoy · Joeri Hermans · François Rozet · Antoine Wehenkel · Gilles Louppe |
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Poster
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Wed 9:00 |
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Aranda · Adel Bibi · Riccardo Volpi · Amartya Sanyal · Philip Torr · Gregory Rogez · Puneet Dokania |
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Workshop
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Measuring Reliability of Large Language Models through Semantic Consistency Harsh Raj · Domenic Rosati · Subhabrata Majumdar |
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Workshop
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Provably Reliable Large-Scale Sampling from Gaussian Processes Anthony Stephenson · Robert Allison |
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Workshop
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Embedding Reliability: On the Predictability of Downstream Performance Shervin Ardeshir · Navid Azizan |
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Workshop
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Sat 8:45 |
Panel on Technical Challenges Associated with Reliable Human Evaluations of Generative Models Long Ouyang · Tongshuang Wu · Zachary Lipton |