David Wingate | DeepAI

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Featured Co-authors

Satinder Singh
56 publications
Noah Goodman
48 publications
Jan-Willem van de Meent
44 publications
Vikash K. Mansinghka
37 publications
Theophane Weber
35 publications
Mohammad Shoeybi
29 publications
Joshua Tenenbaum
28 publications
Joshua Robinson
13 publications
Alexey Radul
10 publications
Nancy Fulda
8 publications
Marco F. Cusumano-Towner
7 publications

∙ 06/03/2023

Towards Coding Social Science Datasets with Language Models

Researchers often rely on humans to code (label, annotate, etc.) large s...

0 Christopher Michael Rytting, et al. ∙

∙ 02/14/2023

AI Chat Assistants can Improve Conversations about Divisive Topics

A rapidly increasing amount of human conversation occurs online. But div...

0 Lisa P. Argyle, et al. ∙

∙ 10/22/2022

Leveraging Large Language Models for Multiple Choice Question Answering

While large language models (LLMs) like GPT-3 have achieved impressive r...

0 Joshua Robinson, et al. ∙

∙ 10/06/2022

Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

We explore the idea of compressing the prompts used to condition languag...

0 David Wingate, et al. ∙

∙ 09/14/2022

Out of One, Many: Using Language Models to Simulate Human Samples

We propose and explore the possibility that language models can be studi...

0 Lisa P. Argyle, et al. ∙

∙ 03/21/2022

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Pre-trained language models derive substantial linguistic and factual kn...

0 Taylor Sorensen, et al. ∙

∙ 10/05/2021

Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning

Large natural language models (such as GPT-3 or T5) demonstrate impressi...

0 Christopher Michael Rytting, et al. ∙

∙ 12/10/2020

Towards Neural Programming Interfaces

It is notoriously difficult to control the behavior of artificial neural...

0 Zachary C. Brown, et al. ∙

∙ 01/03/2020

Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads

Human teams are able to easily perform collaborative manipulation tasks....

2 Erich Mielke, et al. ∙

∙ 10/03/2019

Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning

In the multi-objective reinforcement learning (MORL) paradigm, the relat...

23 Kolby Nottingham, et al. ∙

∙ 10/01/2019

Wasserstein Neural Processes

Neural Processes (NPs) are a class of models that learn a mapping from a...

0 Andrew Carr, et al. ∙

∙ 03/01/2019

Video Extrapolation with an Invertible Linear Embedding

We predict future video frames from complex dynamic scenes, using an inv...

0 Robert Pottorff, et al. ∙

∙ 02/26/2019

Graph Neural Processes: Towards Bayesian Graph Neural Networks

We introduce Graph Neural Processes (GNP), inspired by the recent work i...

0 Andrew N. Carr, et al. ∙

∙ 12/04/2018

Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs

As autonomous agents become more ubiquitous, they will eventually have t...

0 Iris Rubi Seaman, et al. ∙

∙ 08/14/2018

Embedding Grammars

Classic grammars and regular expressions can be used for a variety of pu...

0 David Wingate, et al. ∙

∙ 04/17/2017

Probabilistic programs for inferring the goals of autonomous agents

Intelligent systems sometimes need to infer the probable goals of people...

0 Marco F. Cusumano-Towner, et al. ∙

∙ 03/09/2017

What can you do with a rock? Affordance extraction via word embeddings

Autonomous agents must often detect affordances: the set of behaviors en...

0 Nancy Fulda, et al. ∙

∙ 01/07/2013

Automated Variational Inference in Probabilistic Programming

We present a new algorithm for approximate inference in probabilistic pr...

0 David Wingate, et al. ∙

∙ 07/04/2012

Predictive Linear-Gaussian Models of Stochastic Dynamical Systems

Models of dynamical systems based on predictive state representations (P...

0 Matthew Rudary, et al. ∙

∙ 05/09/2012

The Infinite Latent Events Model

We present the Infinite Latent Events Model, a nonparametric hierarchica...

0 David Wingate, et al. ∙

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