Learning in High Dimension Always Amounts to Extrapolation

18 October 2021

Papers citing "Learning in High Dimension Always Amounts to Extrapolation"

19 / 19 papers shown

Title
Revealing Bias Formation in Deep Neural Networks Through the Geometric Mechanisms of Human Visual Decoupling Yanbiao Ma Bowei Liu Boyuan Gao Wei-Ming Dai Jiayi Chen Shuo Li AI4CE 66 0 0 17 Feb 2025
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 73 3 0 24 May 2024
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect D. Peng Zhipeng Gui Huayi Wu 40 6 0 31 Dec 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao F. Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 36 5 0 22 Mar 2023
Can a face tell us anything about an NBA prospect? -- A Deep Learning approach A. Gavros Foteini Gavrou 3DH CVBM 40 0 0 13 Dec 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 29 32 0 29 Nov 2022
A survey of deep learning optimizers -- first and second order methods Rohan Kashyap ODL 34 6 0 28 Nov 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 35 15 0 16 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension Ippei Fujisawa Ryota Kanai ELM LRM 28 4 0 14 Nov 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 58 10 0 22 Sep 2022
Membership Inference Attacks via Adversarial Examples Hamid Jalalzai Elie Kadoche Rémi Leluc Vincent Plassier AAML FedML MIACV 38 7 0 27 Jul 2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation David Yallup Will Handley Michael P. Hobson A. Lasenby Pablo Lemos 25 1 0 23 May 2022
A Precis of Language Models are not Models of Language Csaba Veres 37 3 0 16 May 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 49 71 0 26 Mar 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 87 0 21 Mar 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention Kazuki Irie Róbert Csordás Jürgen Schmidhuber 14 42 0 11 Feb 2022
To what extent should we trust AI models when they extrapolate? Roozbeh Yousefzadeh Xuenan Cao 27 5 0 27 Jan 2022
Hierarchical transfer learning with applications for electricity load forecasting A. Antoniadis Solenne Gaucher Y. Goude AI4TS 27 11 0 16 Nov 2021
Mixed-Integer Optimization with Constraint Learning Donato Maragno H. Wiberg Dimitris Bertsimas Ş. Birbil D. Hertog Adejuyigbe O. Fajemisin 59 50 0 04 Nov 2021