How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability

How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability

13 June 2024

Xiaowen Dong

Yuguang Wang

Papers citing "How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability"

9 / 9 papers shown

Title
A Logic for Expressing Log-Precision Transformers William Merrill Ashish Sabharwal ReLM NAI LRM 48 46 0 06 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 152 146 0 20 Sep 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 52 50 0 26 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 48 26 0 07 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 207 97 0 14 Sep 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 135 103 0 14 Jul 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 84 82 0 11 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014