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04/16/2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Cross-modal distillation has been widely used to transfer knowledge acro...
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03/08/2023
Classical vs Quantum Advice and Proofs under Classically-Accessible Oracle
It is a long-standing open question to construct a classical oracle rela...
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11/10/2022
Parameterized Complexity of Weighted Local Hamiltonian Problems and the Quantum Exponential Time Hypothesis
We study a parameterized version of the local Hamiltonian problem, calle...
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07/14/2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Although more layers and more parameters generally improve the accuracy ...
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07/14/2022
On the Feasibility of Unclonable Encryption, and More
Unclonable encryption, first introduced by Broadbent and Lord (TQC'20), ...
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06/12/2022
Fine-tuning Pre-trained Language Models with Noise Stability Regularization
The advent of large-scale pre-trained language models has contributed gr...
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05/26/2022
Deep Active Learning with Noise Stability
Uncertainty estimation for unlabeled data is crucial to active learning....
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03/09/2022
Inadequately Pre-trained Models are Better Feature Extractors
Pre-training has been a popular learning paradigm in deep learning era, ...
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12/10/2021
Boosting Active Learning via Improving Test Performance
Central to active learning (AL) is what data should be selected for anno...
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07/10/2021
Noise Stability Regularization for Improving BERT Fine-tuning
Fine-tuning pre-trained language models such as BERT has become a common...
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03/25/2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
To improve the performance of deep learning, mixup has been proposed to ...
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03/19/2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
Deep neural networks have been well-known for their superb performance i...
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03/03/2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
While recent studies on semi-supervised learning have shown remarkable p...
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12/14/2020
Temporal Relational Modeling with Self-Supervision for Action Segmentation
Temporal relational modeling in video is essential for human action unde...
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10/16/2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
Fine-tuning deep neural networks pre-trained on large scale datasets is ...
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09/16/2020
Measuring Information Transfer in Neural Networks
Estimation of the information content in a neural network model can be p...
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07/20/2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup
Transferring knowledge from large source datasets is an effective way to...
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07/07/2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Fine-tuning the deep convolution neural network(CNN) using a pre-trained...
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05/29/2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
A normalizing flow is an invertible mapping between an arbitrary probabi...
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04/26/2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Softening labels of training datasets with respect to data representatio...
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12/02/2019
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
In this paper, we study the problem of joint active and passive beamform...
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11/18/2019
Towards Making Deep Transfer Learning Never Hurt
Transfer learning have been frequently used to improve deep neural netwo...
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02/03/2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Regularization of Deep Neural Networks (DNNs) for the sake of improving ...
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01/26/2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Transfer learning through fine-tuning a pre-trained neural network with ...
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11/09/2018
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach
In this paper, we studied the problem of beam alignment for millimeter w...
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12/20/2017
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
We consider the problem of spectrum sharing in a cognitive radio system ...
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12/20/2017
