Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

2 October 2020

Anima Anandkumar

Papers citing "Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning"

14 / 14 papers shown

Title
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian Yasaman Razeghi Sameer Singh Shayan Doroudi 49 1 0 31 Oct 2024
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? Antonia Wüst Tim Nelson Tobiasch Lukas Helff Inga Ibs Wolfgang Stammer Devendra Singh Dhami Constantin Rothkopf Kristian Kersting CoGe ReLM VLM LRM 71 1 0 25 Oct 2024
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning Mikołaj Małkiński Jacek Mańdziuk 36 0 0 16 Jun 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities Ricardo Gonzalez Ashirbani Saha Clinton J.V. Campbell Peyman Nejat Cynthia Lokker Andrew P. Norgan 41 13 0 06 Dec 2023
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability Qinglai Wei Diancheng Chen Beiming Yuan 32 10 0 26 Oct 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 24 5 0 14 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 28 36 0 27 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma Weili Nie Zhiding Yu Huaizu Jiang Chaowei Xiao Yuke Zhu Song-Chun Zhu Anima Anandkumar ViT LRM 30 19 0 24 Apr 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 120 41 0 28 Jan 2022
ReaSCAN: Compositional Reasoning in Language Grounding Zhengxuan Wu Elisa Kreiss Desmond C. Ong Christopher Potts CoGe LRM 29 22 0 18 Sep 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
Flexible Compositional Learning of Structured Visual Concepts Yanli Zhou Brenden M. Lake OCL CoGe 11 7 0 20 May 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,700 0 09 Mar 2017