Tom M. Mitchell

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Carnegie Mellon University

E. Fredkin University Professor, Machine Learning Department at Carnegie Mellon University, Chief Scientist at Whizbang! Labs from 2000-2001

Assessing the Knowledge State of Online Students – New Data, New Approaches, Improved Accuracy

We consider the problem of assessing the changing knowledge state of ind...
09/04/2021 ∙ by Robin Schmucker, et al. ∙ 2 ∙ share

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Coarse-to-Fine Curriculum Learning

When faced with learning challenging new tasks, humans often follow sequ...
06/08/2021 ∙ by Otilia Stretcu, et al. ∙ 5 ∙ share

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A Generative Symbolic Model for More General Natural Language Understanding and Reasoning

We present a new fully-symbolic Bayesian model of semantic parsing and r...
05/06/2021 ∙ by Abulhair Saparov, et al. ∙ 29 ∙ share

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Gender Bias, Social Bias and Representation: 70 Years of B^Hollywood

With an outreach in more than 90 countries, a market share of 2.1 billio...
02/18/2021 ∙ by Kunal Khadilkar, et al. ∙ 0 ∙ share

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Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election

The growing political polarization of the American electorate over the l...
01/22/2021 ∙ by Ashiqur R. KhudaBukhsh, et al. ∙ 5 ∙ share

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Screen2Vec: Semantic Embedding of GUI Screens and GUI Components

Representing the semantics of GUI screens and components is crucial to d...
01/11/2021 ∙ by Toby Jia-Jun Li, et al. ∙ 0 ∙ share

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We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

Polarization among US political parties, media and elites is a widely st...
10/05/2020 ∙ by Ashiqur R. KhudaBukhsh, et al. ∙ 0 ∙ share

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Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction

How meaning is represented in the brain is still one of the big open que...
09/17/2020 ∙ by Mariya Toneva, et al. ∙ 5 ∙ share

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Discovering Bilingual Lexicons in Polyglot Word Embeddings

Bilingual lexicons and phrase tables are critical resources for modern M...
08/31/2020 ∙ by Ashiqur R. KhudaBukhsh, et al. ∙ 0 ∙ share

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Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents

We argue that a key challenge in enabling usable and useful interactive ...
03/05/2020 ∙ by Toby Jia-Jun Li, et al. ∙ 17 ∙ share

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PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations

Natural language programming is a promising approach to enable end users...
08/30/2019 ∙ by Toby Jia-Jun Li, et al. ∙ 0 ∙ share

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Competence-based Curriculum Learning for Neural Machine Translation

Current state-of-the-art NMT systems use large neural networks that are ...
03/23/2019 ∙ by Emmanouil Antonios Platanios, et al. ∙ 14 ∙ share

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Discourse in Multimedia: A Case Study in Information Extraction

To ensure readability, text is often written and presented with due form...
11/13/2018 ∙ by Mrinmaya Sachan, et al. ∙ 0 ∙ share

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Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

We propose an efficient method to estimate the accuracy of classifiers u...
05/19/2017 ∙ by Emmanouil A. Platanios, et al. ∙ 0 ∙ share

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Machine Reading with Background Knowledge

Intelligent systems capable of automatically understanding natural langu...
12/16/2016 ∙ by Ndapandula Nakashole, et al. ∙ 0 ∙ share

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A Probabilistic Generative Grammar for Semantic Parsing

We present a framework that couples the syntax and semantics of natural ...
06/20/2016 ∙ by Abulhair Saparov, et al. ∙ 0 ∙ share

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Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization

How can we correlate neural activity in the human brain as it responds t...
02/28/2013 ∙ by Evangelos E. Papalexakis, et al. ∙ 0 ∙ share

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Tom M. Mitchell

Featured Co-authors

Graham Neubig

Eric P Xing

Barnabas Poczos

Dan Roth

Nicholas D. Sidiropoulos

Eric Horvitz

Evangelos E. Papalexakis

Christos Faloutsos

Jingbo Wang

Hoifung Poon

Mrinmaya Sachan

Assessing the Knowledge State of Online Students – New Data, New Approaches, Improved Accuracy

Coarse-to-Fine Curriculum Learning

A Generative Symbolic Model for More General Natural Language Understanding and Reasoning

Gender Bias, Social Bias and Representation: 70 Years of B^Hollywood

Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election

Screen2Vec: Semantic Embedding of GUI Screens and GUI Components

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation

Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction

Discovering Bilingual Lexicons in Polyglot Word Embeddings

Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations

Competence-based Curriculum Learning for Neural Machine Translation

Discourse in Multimedia: A Case Study in Information Extraction

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

Machine Reading with Background Knowledge

A Probabilistic Generative Grammar for Semantic Parsing

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization