AGI & CoCoSci
837 items from yuzheshi/awesome-agi-cocosci ★398
-
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review arxiv.org
2018. [All Versions]. [Slides]. Sergey Levine's tutorial on treating reinforcement learning probabilisticly.
-
Emergent communication through negotiation arxiv.org
ICLR'18, 2018. [All Versions].
-
UCB Exploration via Q-Ensembles arxiv.org
2017. [All Versions].
-
Unsupervised Representaton Learning with Deep Convolutional Generative Adversarial Networks arxiv.org
ICLR'16, 2016. [All Versions].
-
Design Guidelines for Domain Specific Languages arxiv.org
OOPSLA Workshop on Domain-Specific Modeling (DSM' 09), 2009. [All Versions]. Designing a new domain specific language is as any other complex task sometimes error-prone and usually time consuming, especially if the language shall be of high-quality and comfortably usable…
-
On the information bottleneck theory of deep learning artemyk.github.io
Journal of Statistical Mechanics: Theory and Experiment, 2019. [All Versions].
-
Experimental Games and Social Decision Making annualreviews.org
Annual Review of Psychology, 2021. [All Versions]. Experimental games model situations in which the future outcomes of individuals and groups depend on their own choices and on those of other (groups of) individuals. Games are a powerful tool to identify the neural and…
-
Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power annualreviews.org
Annual Review of Psychology, 2017. [All Versions]. A comprehensive review of the quantitative analysis techniques for behavioral studies.
-
Integrated Task and Motion Planning annualreviews.org
Annual Review of Control, Robotics, and Autonomous Systems, 2021. [All Versions]. The problem of planning for a robot that operates in environments containing a large number of objects, taking actions to move itself through the world as well as to change the state of the…
-
Object Perception as Bayesian Inference annualreviews.org
Annual Review of Psychology, 2004. [All Versions]. [Preprint]. We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many…
-
Logical reduction of metarules andrewcropper.com
Machine Learning, 2019. [All Versions].
-
Learning higher-order logic programs andrewcropper.com
Machine Learning, 2019. [All Versions].
-
Learning efficient logic programs andrewcropper.com
Machine Learning, 2018. [All Versions].
-
Playgol: Learning Programs Through Play andrewcropper.com
IJCAI'19, 2019. [All Versions].
-
Learning Higher-Order Logic Programs through Abstraction and Invention andrewcropper.com
IJCAI'16, 2016. [All Versions].
-
Learning Efficient Logical Robot Strategies Involving Composable Objects andrewcropper.com
IJCAI'15, 2015. [All Versions].
-
Forgetting to Learn Logic Programs andrewcropper.com
AAAI'20, 2020. [All Versions].
-
Reinforcement learning: An introduction andrew.cmu.edu
MIT Press, 2018. [All Versions]. Richard Sutton's comprehensive book on reinforcement learning.
-
A tale of three probabilistic families: Discriminative, descriptive, and generative models ams.org
Quarterly of Applied Mathematics, 2018. [All Versions]. [Preprint]. The pattern theory of Grenander is a mathematical framework where patterns are represented by probability models on random variables of algebraic structures. In this paper, the authors review three families of…
-
Statistical Predicate Invention alchemy.cs.washington.edu
ICML'07, 2007. [All Versions]. This work proposes statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in structured data, and generalizes hidden variable discovery in…
-
Verbosity: A Game for Collecting Common-Sense Facts aladdin.cs.cmu.edu
CHI'06, 2006. [All Versions].
-
Is human cognition adaptive? act-r.psy.cmu.edu
Behavioral and Brain Sciences, 1991. [All Versions]. The original paper introducing the adaptation perspective of human intelligence, the theoretical basis of the ACT cognitive architecture.
-
The Adaptive Nature of Human Categorization Behavior act-r.psy.cmu.edu
Psychological Review, 1991. [All Versions]. The original paper that relates cognitive resource limitation with Bayesian rational analysis, in the case of categorization behavior.
-
Machine Translation Using Abductive Inference aclweb.org
COLING, 1990. [All Versions]. Many existing approaches to machine translation take for granted that the information presented in the output is found somewhere in the input, and, moreover, that such information should be expressed at a single representational level, say, in…
-
Skip-Gram − Zipf + Uniform = Vector Additivity aclanthology.org
ACL'17, 2017. [All Versions].
-
SciBERT: A Pretrained Language Model for Scientific Text aclanthology.org
EMNLP'19, 2019. [All Versions]. Searching and synthesizing scientific literature, aiding researchers in hypothesis generation, and assisting with experimental design, making scientific knowledge more accessible.
-
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations aclanthology.org
NAACL'24, 2024. [All Versions]. This paper explores the task of uncommonsense abductive reasoning. Given a piece of context with an unexpected outcome, this task requires reasoning abductively to generate an explanation that makes the unexpected outcome more likely in the…
-
Do Llamas Work in English? On the Latent Language of Multilingual Transformers aclanthology.org
ACL'24, 2024. [All Versions]. A preliminary work empirically showing that the intermediate embeddings of multilingual Transformers (1) start far away from output token embeddings; (2) already allow for decoding a semantically correct next token in the middle layers, but give…
-
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints aclanthology.org
ACL'24, 2024. [All Versions]. [Preprint]. [Project]. The original paper on the automated design of DSLs, referred to as AutoDSL. Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of…
-
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology aclanthology.org
EMNLP'23, 2023. [All Versions]. [Project]. This paper presents an automatic evaluation framework for the task of planning experimental protocols, and introduces BioProt: a dataset of biology protocols with corresponding pseudocode representations.
-
Large Language Models Meet NL2Code: A Survey aclanthology.org
ACL'23, 2023. [All Versions]. [NL2Code Website]. A paper presenting a comprehensive survey of 27 existing large language models for NL2Code, and also review benchmarks and metrics, suggesting that the key factors contributing to the success of large language models for NL2Code…
-
PersLEARN: Research Training through the Lens of Perspective Cultivation aclanthology.org
ACL'23, 2023. [All Versions]. Scientific research is inherently shaped by its authors’ perspectives, influenced by various factors such as their personality, community, or society. Junior researchers often face challenges in identifying the perspectives reflected in the…
-
Unit Testing for Concepts in Neural Networks aclanthology.org
Transactions of the Association for Computational Linguistics, 2022. [All Versions]. Testing the concept representation by neural networks through Fodor's theory of concepts.
-
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning aclanthology.org
EMNLP'21, 2021. [All Versions].
-
ESRA: Explainable Scientific Research Assistant aclanthology.org
ACL'21 Demo Track, 2021. [All Versions]. A tool for constructing and visualizing the knowledge graph of a query keyword in literature retrieving.
-
LEGAL-BERT: The Muppets straight out of Law School aclanthology.org
EMNLP'20, 2020. [All Versions]. Generating answers to legal questions, analyze contracts, and summarizing legal documents, making legal knowledge more accessible to non-experts.
-
Pragmatic Issue-Sensitive Image Captioning aclanthology.org
EMNLP Findings'20, 2020. [All Versions]. Application of Rational Speech Act to Image Captioning.
-
CodeBERT: A Pre-Trained Model for Programming and Natural Languages aclanthology.org
EMNLP'20, 2020. [All Versions]. Completing code, generating programming documentation, and providing technical support, making programming knowledge more accessible to non-experts.
-
Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers aclanthology.org
ACL'20, 2020. [All Versions].
-
Experience Grounds Language aclanthology.org
EMNLP'20, 2020. [All Versions]. A perspective on the furture of computational linguistics research---commonsense-driven and embodied language.
-
How large language models need symbolism academic.oup.com
National Science Review, 2025. [All Versions]. Advances in artificial intelligence (AI), particularly large language models (LLMs), have achieved remarkable success. This progress stems from ‘scaling laws’---performance improves with greater computation, data and model size…
-
Learning to act: qualitative learning of deterministic action models academic.oup.com
Journal of Logic and Computation, 2017. [All Versions].
-
Abductive Logic Programming academic.oup.com
Journal of Logic Computation, 1992. [All Versions]. This paper is a survey and critical overview of recent work on the extension of logic programming to perform abductive reasoning (abductive logic programming). The authors outline the general framework of abduction and its…
-
Simple shape feature computation across modalities: convergence and divergence between the ventral and dorsal visual… academic.oup.com
Cerebral Cortex, 2023. [All Versions]. [Preprints]. Shape processing, whether by seeing or touching, is pivotal to object recognition and manipulation. Although the low-level signals are initially processed by different modality-specific neural circuits, multimodal responses to…
-
BioBERT: a pre-trained biomedical language representation model for biomedical text mining academic.oup.com
Bioinformatics, 2020. [All Versions]. Answering medical questions, identifying relevant clinical trials, and diagnosing diseases based on symptoms, making medical information more accessible to the general public.
-
Theory of Minds: Understanding Behavior in Groups through Inverse Planning aaai.org
AAAI'19, 2019. [All Versions]. Towards the goal of building machine-learning algorithms with human-like social intelligence, this paper develops a generative model of multiagent action understanding based on a novel representation for these latent relationships called…
-
Speech Acts of Argumentation: Inference Anchors and Peripheral Cues in Dialogue aaai.org
AAAI'12, 2012. [All Versions]. The original paper introducing the Information Anchoring Theory (IAT) as an alternate for AIF.
-
An Approach to Abductive Reasoning in Equational Logic aaai.org
IJCAI'13, 2013. [All Versions]. Abduction has been extensively studied in propositional logic because of its many applications in artificial intelligence. However, its intrinsic complexity has been a limitation to the implementation of abductive reasoning tools in more…
-
Learning Systems of Concepts with an Infinite Relational Model aaai.org
AAAI'06, 2006. [All Versions].
-
The Public Acquisition of Commonsense Knowledge aaai.org
Proceedings of AAAI Spring Symposium on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, 2002. [All Versions]. The first attempt for acquring commonsense knowlege from humans' activities on the internet.
- next page of items loading…
