Alexander Meinke
6 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(12)
Conferences
NIPS (3)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
out-of-distribution detection
(3)
adversarial robustness
(2)
uncertainty quantification
(2)
instruction following
(1)
ai safety
(1)
interval bound propagation
(1)
energy-based model
(1)
uncertainty estimation
(1)
situational awareness
(1)
model self-awareness
(1)
behavioral testing
(1)
confidence score
(1)
out-of-distribution training datum
(1)
binary discrimination
(1)
model self-knowledge
(1)
large language model
(1)
benchmark evaluation
(1)
worst case guarantee
(1)
certified robustness
(1)
question answering
(1)
Papers
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
NIPS 2024
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
NIPS 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
ICML 2022
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
NIPS 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability
ECCV 2020
Towards neural networks that provably know when they don't know
ICLR 2020