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07/31/2022
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics
Language modality within the vision language pretraining framework is in...
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06/06/2022
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
We study sequential decision making problems aimed at maximizing the exp...
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04/06/2022
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Improving the retrieval relevance on noisy datasets is an emerging need ...
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02/28/2022
Multi-modal Alignment using Representation Codebook
Aligning signals from different modalities is an important step in visio...
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02/21/2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-language representation learning largely benefits from image-text...
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07/29/2021
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
The fact that there exists a gap between low-level features and semantic...
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11/20/2020
SLADE: A Self-Training Framework For Distance Metric Learning
Most existing distance metric learning approaches use fully labeled data...
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03/02/2019
Robot Learning via Human Adversarial Games
Much work in robotics has focused on "human-in-the-loop" learning techni...
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11/11/2018
An Interpretable Generative Model for Handwritten Digit Image Synthesis
An interpretable generative model for handwritten digits synthesis is pr...
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10/05/2018
Interpretable Convolutional Neural Networks via Feedforward Design
The model parameters of convolutional neural networks (CNNs) are determi...
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07/05/2018
PortraitGAN for Flexible Portrait Manipulation
Previous methods have dealt with discrete manipulation of facial attribu...
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11/21/2016