conftrace_

concept learning

121 papers

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Co-occurring keywords

few-shot learning (3398) representation learning (6206) diffusion model (3751) machine teaching (38) description logic (107) text-to-image generation (587) generative model (2892) vision-language model (2348) large language model (13587) visual reasoning (493)

Papers

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images ICCV 2021
Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NIPS 2021
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders ACL 2021
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations CVPR 2021
Known unknowns: Learning novel concepts using reasoning-by-elimination UAI 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language NIPS 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021
Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021
Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning CVPR 2021
Separating Skills and Concepts for Novel Visual Question Answering CVPR 2021
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NIPS 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
Unsupervised Learning of Compositional Energy Concepts NIPS 2021
Generative Continual Concept Learning AAAI 2020
Mask & Focus: Conversation Modelling by Learning Concepts AAAI 2020
Least General Generalizations in Description Logic: Verification and Existence AAAI 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning NIPS 2020
Teaching Multiple Concepts to a Forgetful Learner NIPS 2019
Learning Description Logic Concepts: When can Positive and Negative Examples be Separated? IJCAI 2019
Visual Concept-Metaconcept Learning NIPS 2019
Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer IJCAI 2019