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03/02/2023
Predicting Motion Plans for Articulating Everyday Objects
Mobile manipulation tasks such as opening a door, pulling open a drawer,...
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04/26/2022
Learning Value Functions from Undirected State-only Experience
This paper tackles the problem of learning value functions from undirect...
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03/30/2022
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems
The deep learning revolution has been enabled in large part by GPUs, and...
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08/13/2021
Datasets for Studying Generalization from Easy to Hard Examples
We describe new datasets for studying generalization from easy to hard e...
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06/08/2021
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Deep neural networks are powerful machines for visual pattern recognitio...
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03/02/2021
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
Data poisoning and backdoor attacks manipulate training data to induce s...
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02/22/2021
Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems
Deep neural networks are powerful machines for visual pattern recognitio...
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01/18/2021
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs
Humans are able to form a complex mental model of the environment they m...
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11/18/2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff
Data poisoning and backdoor attacks manipulate victim models by maliciou...
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10/13/2020
Random Network Distillation as a Diversity Metric for Both Image and Text Generation
Generative models are increasingly able to produce remarkably high quali...
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06/22/2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Data poisoning and backdoor attacks manipulate training data in order to...
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06/17/2020
Semantic Visual Navigation by Watching YouTube Videos
Semantic cues and statistical regularities in real-world environment lay...
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06/11/2020
MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras
Segmentation of moving objects in dynamic scenes is a key process in sce...
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05/11/2020
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation
Several autonomy pipelines now have core components that rely on deep le...
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02/15/2020
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
We present a unified representation for actionable spatial perception: 3...
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12/28/2019
OpenRadar: A Toolkit for Prototyping mmWave Radar Applications
Millimeter-Wave (mmWave) radar sensors are gaining popularity for their ...
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12/16/2019
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Heart disease is the leading cause of death worldwide. Amongst patients ...
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12/14/2019