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08/22/2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Generating video stories from text prompts is a complex task. In additio...
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10/05/2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description
We present Phenaki, a model capable of realistic video synthesis, given ...
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04/18/2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL
Model-based reinforcement learning (RL) algorithms designed for handling...
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06/24/2021
FitVid: Overfitting in Pixel-Level Video Prediction
An agent that is capable of predicting what happens next can perform a v...
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12/08/2020
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) methods have shown strong samp...
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05/08/2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Autonomous driving system development is critically dependent on the abi...
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11/05/2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Predicting future video frames is extremely challenging, as there are ma...
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03/04/2019
VideoFlow: A Flow-Based Generative Model for Video
Generative models that can model and predict sequences of future events ...
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03/01/2019
Model-Based Reinforcement Learning for Atari
Model-free reinforcement learning (RL) can be used to learn effective po...
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06/28/2018
Evaluating Feature Importance Estimates
Estimating the influence of a given feature to a model prediction is cha...
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06/12/2018
Hierarchical Long-term Video Prediction without Supervision
Much of recent research has been devoted to video prediction and generat...
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11/02/2017
The (Un)reliability of saliency methods
Saliency methods aim to explain the predictions of deep neural networks....
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10/30/2017
Stochastic Variational Video Prediction
Predicting the future in real-world settings, particularly from raw sens...
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05/16/2017
Learning how to explain neural networks: PatternNet and PatternAttribution
DeConvNet, Guided BackProp, LRP, were invented to better understand deep...
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12/16/2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Collecting well-annotated image datasets to train modern machine learnin...
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09/21/2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Automatically describing the content of an image is a fundamental proble...
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08/22/2016
Domain Separation Networks
The cost of large scale data collection and annotation often makes the a...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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12/08/2015
SSD: Single Shot MultiBox Detector
We present a method for detecting objects in images using a single deep ...
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03/10/2015
Doubly Robust Policy Evaluation and Optimization
We study sequential decision making in environments where rewards are on...
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12/20/2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Current state-of-the-art deep learning systems for visual object recogni...
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12/03/2014
Scalable, High-Quality Object Detection
Current high-quality object detection approaches use the scheme of salie...
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11/17/2014
Show and Tell: A Neural Image Caption Generator
Automatically describing the content of an image is a fundamental proble...
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09/17/2014
Going Deeper with Convolutions
We propose a deep convolutional neural network architecture codenamed "I...
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12/21/2013
Intriguing properties of neural networks
Deep neural networks are highly expressive models that have recently ach...
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12/19/2013
Using Web Co-occurrence Statistics for Improving Image Categorization
Object recognition and localization are important tasks in computer visi...
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12/08/2013
Scalable Object Detection using Deep Neural Networks
Deep convolutional neural networks have recently achieved state-of-the-a...
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07/01/2013
Challenges in Representation Learning: A report on three machine learning contests
The ICML 2013 Workshop on Challenges in Representation Learning focused ...
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10/16/2012
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
We present and prove properties of a new offline policy evaluator for an...
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09/18/2010
