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Aligning Generalisation Between Humans and Machines
23 November 2024
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
Ute Schmid
Michael Biehl
Marianna Bolognesi
Xin Luna Dong
Kiril Gashteovski
Pascal Hitzler
Giuseppe Marra
Pasquale Minervini
Martin Mundt
Axel-Cyrille Ngonga Ngomo
A. Oltramari
Gabriella Pasi
Zeynep G. Saribatur
Luciano Serafini
John Shawe-Taylor
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
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Papers citing
"Aligning Generalisation Between Humans and Machines"
39 / 89 papers shown
Title
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
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337
2,494
0
08 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
178
423
0
20 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
309
955
0
21 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
168
536
0
31 Aug 2021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
Giuseppe Marra
Sebastijan Dumancic
Robin Manhaeve
Luc de Raedt
NAI
106
65
0
25 Aug 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye
Chuanlong Xie
Tianle Cai
Ruichen Li
Zhenguo Li
Liwei Wang
OODD
OOD
148
113
0
08 Jun 2021
Demystification of Few-shot and One-shot Learning
I. Tyukin
A. Gorban
Muhammad H. Alkhudaydi
Qinghua Zhou
38
15
0
25 Apr 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Jesse Dodge
Maarten Sap
Ana Marasović
William Agnew
Gabriel Ilharco
Dirk Groeneveld
Margaret Mitchell
Matt Gardner
AILaw
128
455
0
18 Apr 2021
A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan
Samson Yu
Tangyao Li
Huaiyu Zhu
Cheston Tan
LM&Ro
128
296
0
08 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
M. V. Bekkum
M. D. Boer
F. V. Harmelen
André Meyer-Vitali
A. T. Teije
72
74
0
23 Feb 2021
Inductive logic programming at 30
Andrew Cropper
Sebastijan Dumancic
Richard Evans
Stephen Muggleton
AI4CE
86
77
0
21 Feb 2021
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie
Zhiding Yu
Lei Mao
Ankit B. Patel
Yuke Zhu
Anima Anandkumar
VLM
LRM
107
77
0
02 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
144
153
0
03 Sep 2020
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
243
859
0
26 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni
Michael I. Jordan
Chi Jin
142
221
0
20 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
Prateek Jain
Praneeth Netrapalli
AAML
76
364
0
13 Jun 2020
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.2K
42,714
0
28 May 2020
Supervised Learning in the Presence of Concept Drift: A modelling framework
Michiel Straat
Fthi Abadi
Z. Kan
Christina Göpfert
Barbara Hammer
Michael Biehl
23
12
0
21 May 2020
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
93
1,295
0
13 Apr 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAI
AI4CE
84
80
0
29 Feb 2020
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
126
518
0
05 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
320
2,018
0
02 Feb 2020
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
192
4,510
0
07 Nov 2019
Generalization through Memorization: Nearest Neighbor Language Models
Urvashi Khandelwal
Omer Levy
Dan Jurafsky
Luke Zettlemoyer
M. Lewis
RALM
187
846
0
01 Nov 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
200
3,465
0
28 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
106
1,023
0
26 Feb 2019
Measuring Compositionality in Representation Learning
Jacob Andreas
CoGe
112
150
0
19 Feb 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
853
8,643
0
03 Jan 2019
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
228
1,923
0
05 Oct 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
249
2,679
0
14 Mar 2018
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold
Artur Garcez
Sebastian Bader
Howard L. Bowman
Pedro M. Domingos
...
P. Lima
L. Penning
Gadi Pinkas
Hoifung Poon
Gerson Zaverucha
LRM
AI4CE
106
348
0
10 Nov 2017
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
Derek Doran
Sarah Schulz
Tarek R. Besold
XAI
68
440
0
02 Oct 2017
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
629
2,269
0
25 Jul 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
246
1,610
0
23 Jul 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
309
4,311
0
22 Jun 2017
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
230
3,388
0
12 Jun 2017
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
150
610
0
29 Aug 2016
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
228
1,950
0
24 Feb 2016
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
167
3,977
0
24 Nov 2015
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