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12/03/2022
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
The standard closed-set domain adaptation approaches seek to mitigate di...
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10/27/2022
PatchRot: A Self-Supervised Technique for Training Vision Transformers
Vision transformers require a huge amount of labeled data to outperform ...
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07/17/2022
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
In contrast to a standard closed-set domain adaptation task, partial dom...
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01/26/2022
Sparsity Regularization For Cold-Start Recommendation
Recently, Generative Adversarial Networks (GANs) have been applied to th...
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01/06/2021
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
The generalization power of deep-learning models is dependent on rich-la...
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07/19/2020
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning
Zero-shot learning (ZSL) addresses the unseen class recognition problem ...
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01/07/2020
Foveated Haptic Gaze
As digital worlds become ubiquitous via video games, simulations, virtua...
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07/01/2019
Representation, Exploration and Recommendation of Music Playlists
Playlists have become a significant part of our listening experience bec...
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06/23/2017
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
Mutual Information (MI) is often used for feature selection when develop...
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06/23/2017
Multiresolution Match Kernels for Gesture Video Classification
The emergence of depth imaging technologies like the Microsoft Kinect ha...
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06/23/2017
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation
Domain adaptation deals with adapting classifiers trained on data from a...
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06/22/2017
Coupled Support Vector Machines for Supervised Domain Adaptation
Popular domain adaptation (DA) techniques learn a classifier for the tar...
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06/22/2017
Nonlinear Embedding Transform for Unsupervised Domain Adaptation
The problem of domain adaptation (DA) deals with adapting classifier mod...
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06/22/2017
Deep Hashing Network for Unsupervised Domain Adaptation
In recent years, deep neural networks have emerged as a dominant machine...
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05/02/2017
