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08/24/2023
Label Budget Allocation in Multi-Task Learning
The cost of labeling data often limits the performance of machine learni...
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05/09/2023
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
Webpages have been a rich resource for language and vision-language task...
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04/04/2023
ERM++: An Improved Baseline for Domain Generalization
Multi-source Domain Generalization (DG) measures a classifier's ability ...
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04/07/2022
Many-to-many Splatting for Efficient Video Frame Interpolation
Motion-based video frame interpolation commonly relies on optical flow t...
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02/04/2022
Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands
We introduce Mobile app Tasks with Iterative Feedback (MoTIF), a new dat...
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08/10/2021
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
Recently, huge strides were made in monocular and multi-view pose estima...
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06/04/2021
ZeroWaste Dataset: Towards Automated Waste Recycling
Less than 35 leads to increased soil and sea pollution and is one of the...
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02/23/2021
Good Actors can come in Smaller Sizes: A Case Study on the Value of Actor-Critic Asymmetry
Actors and critics in actor-critic reinforcement learning algorithms are...
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06/18/2020
Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning
We present Shapeshifter Networks (SSNs), a flexible neural network frame...
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06/05/2020
Black-box Explanation of Object Detectors via Saliency Maps
We propose D-RISE, a method for generating visual explanations for the p...
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10/23/2019
Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment
Unsupervised knowledge transfer has a great potential to improve the gen...
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05/26/2019
Why do These Match? Explaining the Behavior of Image Similarity Models
Explaining a deep learning model can help users understand its behavior ...
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06/26/2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Unsupervised transfer of object recognition models from synthetic to rea...
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06/19/2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Deep neural networks are increasingly being used to automate data analys...
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06/10/2018
Unsupervised Video-to-Video Translation
Unsupervised image-to-image translation is a recently proposed task of t...
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06/07/2018
Speaker-Follower Models for Vision-and-Language Navigation
Navigation guided by natural language instructions presents a challengin...
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04/13/2018
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning
We propose a novel method capable of retrieving clips from untrimmed vid...
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10/18/2017
VisDA: The Visual Domain Adaptation Challenge
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challen...
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12/06/2016
Correlation Alignment for Unsupervised Domain Adaptation
In this chapter, we present CORrelation ALignment (CORAL), a simple yet ...
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05/03/2015
