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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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03/26/2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
Building object detectors that are robust to domain shifts is critical f...
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02/06/2023
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
In Composed Image Retrieval (CIR), a user combines a query image with te...
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06/02/2022
Prefix Conditioning Unifies Language and Label Supervision
Vision-language contrastive learning suggests a new learning paradigm by...
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12/03/2021
Learning to Detect Every Thing in an Open World
Many open-world applications require the detection of novel objects, yet...
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08/24/2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
Unsupervised domain adaptation (UDA) methods can dramatically improve ge...
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07/23/2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
Progress in machine learning is typically measured by training and testi...
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05/28/2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
Semi-supervised learning (SSL) is an effective means to leverage unlabel...
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04/07/2021
OVANet: One-vs-All Network for Universal Domain Adaptation
Universal Domain Adaptation (UNDA) aims to handle both domain-shift and ...
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08/01/2020
Self-supervised Visual Attribute Learning for Fashion Compatibility
Many self-supervised learning (SSL) methods have been successful in lear...
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07/15/2020
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
Unsupervised image-to-image translation intends to learn a mapping of an...
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03/18/2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Existing unsupervised domain adaptation methods aim to transfer knowledg...
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02/19/2020
Universal Domain Adaptation through Self Supervision
Unsupervised domain adaptation methods traditionally assume that all sou...
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09/08/2019
MULE: Multimodal Universal Language Embedding
Existing vision-language methods typically support two languages at a ti...
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04/13/2019
Semi-supervised Domain Adaptation via Minimax Entropy
Contemporary domain adaptation methods are very effective at aligning fe...
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12/18/2018
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
The task of unsupervised domain adaptation is proposed to transfer the k...
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12/12/2018
Strong-Weak Distribution Alignment for Adaptive Object Detection
We propose an approach for unsupervised adaptation of object detectors f...
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12/11/2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Most contemporary robots have depth sensors, and research on semantic se...
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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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04/27/2018
Open Set Domain Adaptation by Backpropagation
Numerous algorithms have been proposed for transferring knowledge from a...
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12/07/2017
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
In this work, we present a method for unsupervised domain adaptation (UD...
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11/05/2017
Adversarial Dropout Regularization
We present a method for transferring neural representations from label-r...
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10/31/2017
Melody Generation for Pop Music via Word Representation of Musical Properties
Automatic melody generation for pop music has been a long-time aspiratio...
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02/27/2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Deep-layered models trained on a large number of labeled samples boost t...
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12/23/2016
DeMIAN: Deep Modality Invariant Adversarial Network
Obtaining common representations from different modalities is important ...
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06/20/2016
