Common Sense Reasoning
Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.
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Latest papers without code
Visual search and recognition for robot task execution and monitoring
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Visual search of relevant targets in the environment is a crucial robot skill.
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
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We integrate two powerful ideas, geometry and deep visual representation learning, into recurrent network architectures for mobile visual scene understanding.
COMMON SENSE REASONING REPRESENTATION LEARNING SCENE UNDERSTANDING
Visual Question Answering as Reading Comprehension
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In contrast to struggling on multimodal feature fusion, in this paper, we propose to unify all the input information by natural language so as to convert VQA into a machine reading comprehension problem.
COMMON SENSE REASONING MACHINE READING COMPREHENSION QUESTION ANSWERING VISUAL QUESTION ANSWERING
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos
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Our model is shown to be effective in detecting anomalies in videos.
Sense Perception Common Sense Relationships
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Often missing in existing knowledge bases of facts, are relationships that encode common sense knowledge about unnamed entities.
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
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The NLP and ML communities have long been interested in developing models capable of common-sense reasoning, and recent works have significantly improved the state of the art on benchmarks like the Winograd Schema Challenge (WSC).
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
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We introduce a new benchmark task for coreference resolution, Hard-CoRe, that targets common-sense reasoning and world knowledge.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
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When answering a question, people often draw upon their rich world knowledge in addition to some task-specific context.
Machine Common Sense Concept Paper
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Recent advances in machine learning have resulted in new AI capabilities, but in all of these applications, machine reasoning is narrow and highly specialized.