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FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic
  descriptions, and Conceptual Relations

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations

30 March 2022
Lingjie Mei
Jiayuan Mao
Ziqi Wang
Chuang Gan
J. Tenenbaum
    VLM
ArXivPDFHTML

Papers citing "FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations"

18 / 18 papers shown
Title
Neuro-Symbolic Concepts
Neuro-Symbolic Concepts
Jiayuan Mao
Joshua B. Tenenbaum
Jiajun Wu
NAI
29
0
0
09 May 2025
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
Hanchen Yang
Zishen Wan
Ritik Raj
Joongun Park
Ziwei Li
A. Samajdar
A. Raychowdhury
Tushar Krishna
19
0
0
27 Apr 2025
A Concept-Centric Approach to Multi-Modality Learning
A Concept-Centric Approach to Multi-Modality Learning
Yuchong Geng
Ao Tang
83
0
0
18 Dec 2024
Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual
  Concepts?
Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?
Shailaja Keyur Sampat
Maitreya Patel
Yezhou Yang
Chitta Baral
21
0
0
17 Oct 2024
Towards Learning Abductive Reasoning using VSA Distributed
  Representations
Towards Learning Abductive Reasoning using VSA Distributed Representations
Giacomo Camposampiero
Michael Hersche
Aleksandar Terzić
Roger Wattenhofer
Abu Sebastian
Abbas Rahimi
LRM
32
2
0
27 Jun 2024
Unveiling the Spectrum of Data Contamination in Language Models: A
  Survey from Detection to Remediation
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Chunyuan Deng
Yilun Zhao
Yuzhao Heng
Yitong Li
Jiannan Cao
Xiangru Tang
Arman Cohan
27
13
0
20 Jun 2024
Composite Concept Extraction through Backdooring
Composite Concept Extraction through Backdooring
Banibrata Ghosh
Haripriya Harikumar
Khoa D. Doan
Svetha Venkatesh
Santu Rana
31
0
0
19 Jun 2024
Interpretable Measures of Conceptual Similarity by
  Complexity-Constrained Descriptive Auto-Encoding
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille
Greg Ver Steeg
Tian Yu Liu
Matthew Trager
Carson Klingenberg
Stefano Soatto
30
1
0
14 Feb 2024
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules
  in Vector-symbolic Architectures
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Michael Hersche
Francesco di Stefano
Thomas Hofmann
Abu Sebastian
Abbas Rahimi
19
8
0
29 Jan 2024
Interactive Visual Task Learning for Robots
Interactive Visual Task Learning for Robots
Weiwei Gu
Anant Sah
N. Gopalan
38
4
0
20 Dec 2023
Investigating Data Contamination in Modern Benchmarks for Large Language
  Models
Investigating Data Contamination in Modern Benchmarks for Large Language Models
Chunyuan Deng
Yilun Zhao
Xiangru Tang
Mark B. Gerstein
Arman Cohan
AAML
ELM
19
51
0
16 Nov 2023
Knowledge-Guided Short-Context Action Anticipation in Human-Centric
  Videos
Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia P. Sycara
31
4
0
12 Sep 2023
Sample-Efficient Learning of Novel Visual Concepts
Sample-Efficient Learning of Novel Visual Concepts
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia P. Sycara
47
8
0
15 Jun 2023
Concept Decomposition for Visual Exploration and Inspiration
Concept Decomposition for Visual Exploration and Inspiration
Yael Vinker
A. Voynov
Daniel Cohen-Or
Ariel Shamir
DiffM
32
50
0
29 May 2023
LaSQuE: Improved Zero-Shot Classification from Explanations Through
  Quantifier Modeling and Curriculum Learning
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning
Sayan Ghosh
Rakesh R Menon
Shashank Srivastava
22
2
0
18 Dec 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized
  Systems: Concepts and Research Directions
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Mattias Nilsson
Olov Schelén
Anders Lindgren
Ulf Bodin
Cristina Paniagua
J. Delsing
Fredrik Sandin
31
14
0
20 Oct 2022
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive
  Matrices
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices
Michael Hersche
Mustafa Zeqiri
Luca Benini
Abu Sebastian
Abbas Rahimi
NAI
27
91
0
09 Mar 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
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