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02/02/2023
IC^3: Image Captioning by Committee Consensus
If you ask a human to describe an image, they might do so in a thousand ...
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09/15/2022
Distribution Aware Metrics for Conditional Natural Language Generation
Traditional automated metrics for evaluating conditional natural languag...
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07/16/2022
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training
Generating representations of video data is of key importance in advanci...
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07/07/2022
An Embedding-Dynamic Approach to Self-supervised Learning
A number of recent self-supervised learning methods have shown impressiv...
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06/16/2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Recent work in machine learning and cognitive science has suggested that...
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02/21/2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models
Despite recent progress in reinforcement learning (RL), RL algorithms fo...
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02/15/2022
Misinformation Detection in Social Media Video Posts
With the growing adoption of short-form video by social media platforms,...
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02/15/2022
NewsPod: Automatic and Interactive News Podcasts
News podcasts are a popular medium to stay informed and dive deep into n...
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11/19/2021
Sketch-based Creativity Support Tools using Deep Learning
Sketching is a natural and effective visual communication medium commonl...
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09/27/2021
Compressive Visual Representations
Learning effective visual representations that generalize well without h...
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09/15/2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning
Deep reinforcement learning (RL) has shown great empirical successes, bu...
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05/12/2021
What's The Latest? A Question-driven News Chatbot
This work describes an automatic news chatbot that draws content from a ...
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05/11/2021
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
This work presents a new approach to unsupervised abstractive summarizat...
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07/27/2020
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
Automatic video captioning aims to train models to generate text descrip...
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07/24/2020
Predictive Information Accelerates Learning in RL
The Predictive Information is the mutual information between the past an...
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06/05/2020
A Dataset and Benchmarks for Multimedia Social Analysis
We present a new publicly available dataset with the goal of advancing m...
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05/12/2020
Scones: Towards Conversational Authoring of Sketches
Iteratively refining and critiquing sketches are crucial steps to develo...
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05/06/2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Research in developmental psychology consistently shows that children ex...
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12/10/2019
Measuring the Reliability of Reinforcement Learning Algorithms
Lack of reliability is a well-known issue for reinforcement learning (RL...
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11/16/2019
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Recent success suggests that deep neural control networks are likely to ...
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10/26/2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Learning from demonstrations is a popular tool for accelerating and redu...
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09/23/2019
Deep Imitation Learning of Sequential Fabric Smoothing Policies
Sequential pulling policies to flatten and smooth fabrics have applicati...
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06/19/2019
Evaluating Protein Transfer Learning with TAPE
Protein modeling is an increasingly popular area of machine learning res...
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03/31/2019
Risk Averse Robust Adversarial Reinforcement Learning
Deep reinforcement learning has recently made significant progress in so...
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03/24/2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Inspired by human vision, we propose a new periphery-fovea multi-resolut...
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09/26/2018
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric
Bed-making is a common task well-suited for home robots since it is tole...
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08/26/2018
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data
Self-driving vehicle vision systems must deal with an extremely broad an...
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07/30/2018
Textual Explanations for Self-Driving Vehicles
Deep neural perception and control networks have become key components o...
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03/30/2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Deep neural perception and control networks are likely to be a key compo...
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12/04/2016
General models for rational cameras and the case of two-slit projections
The rational camera model recently introduced in [19] provides a general...
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10/19/2016
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
We present a novel Metropolis-Hastings method for large datasets that us...
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11/19/2015
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks
A fundamental task in machine learning and related fields is to perform ...
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09/18/2014
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation
Gibbs sampling is a workhorse for Bayesian inference but has several lim...
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12/11/2013
