Papers Visual Analogies
“Visual Analogies” 태그가 달린 논문 10편 · 필터 해제
KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models
This paper investigates visual analogical reasoning in large multimodal models (LMMs) compared to human adults and children. A "visual analogy" is an abstract rule inferred from one image and applied to another. While be…
Visual AnalogiesVisual ReasoningDo Large Language Models Solve ARC Visual Analogies Like People Do?
The Abstraction Reasoning Corpus (ARC) is a visual analogical reasoning test designed for humans and machines (Chollet, 2019). We compared human and large language model (LLM) performance on a new child-friendly set of A…
ARCLanguage ModelingLanguage ModellingLarge Language Model+1Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
Analogical reasoning derives information from known relations and generalizes this information to similar yet unfamiliar situations. One of the first generalized ways in which deep learning models were able to solve verb…
ARCDimensionality ReductionVisual AnalogiesVisual Reasoning+1VASR: Visual Analogies of Situation Recognition
A core process in human cognition is analogical mapping: the ability to identify a similar relational structure between different situations. We introduce a novel task, Visual Analogies of Situation Recognition, adapting…
Common Sense ReasoningTripletVisual AnalogiesVisual Commonsense Reasoning+1Solving Visual Analogies Using Neural Algorithmic Reasoning
We consider a class of visual analogical reasoning problems that involve discovering the sequence of transformations by which pairs of input/output images are related, so as to analogously transform future inputs. This p…
Program SynthesisVisual AnalogiesNeural Structure Mapping For Learning Abstract Visual Analogies
Building conceptual abstractions from sensory information and then reasoning about them is central to human intelligence. Abstract reasoning both relies on, and is facilitated by, our ability to make analogies about conc…
Visual AnalogiesVisual ReasoningVisual analogy: Deep learning versus compositional models
Is analogical reasoning a task that must be learned to solve from scratch by applying deep learning models to massive numbers of reasoning problems? Or are analogies solved by computing similarities between structured re…
Deep LearningRelation NetworkVisual AnalogiesVisual Analogies between Atari Games for Studying Transfer Learning in RL
In this work, we ask the following question: Can visual analogies, learned in an unsupervised way, be used in order to transfer knowledge between pairs of games and even play one game using an agent trained for another g…
Atari GamesTransfer LearningVisual AnalogiesTile2Vec: Unsupervised representation learning for spatially distributed data
Geospatial analysis lacks methods like the word vector representations and pre-trained networks that significantly boost performance across a wide range of natural language and computer vision tasks. To fill this gap, we…
General ClassificationRepresentation LearningVisual AnalogiesDeep Visual Analogy-Making
In addition to identifying the content within a single image, relating images and generating related images are critical tasks for image understanding. Recently, deep convolutional networks have yielded breakthroughs in …
Language ModelingLanguage ModellingVisual Analogies