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03/15/2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Deep neural retrieval models have amply demonstrated their power but est...
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10/31/2022
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization
Efficient document retrieval heavily relies on the technique of semantic...
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10/23/2022
Pushing the Efficiency Limit Using Structured Sparse Convolutions
Weight pruning is among the most popular approaches for compressing deep...
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10/07/2022
Pose Guided Human Image Synthesis with Partially Decoupled GAN
Pose Guided Human Image Synthesis (PGHIS) is a challenging task of trans...
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09/30/2022
Machine Unlearning Method Based On Projection Residual
Machine learning models (mainly neural networks) are used more and more ...
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09/30/2022
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally li...
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09/21/2022
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator
Nonparallel multi-domain voice conversion methods such as the StarGAN-VC...
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06/27/2022
Uncertainty Calibration for Deep Audio Classifiers
Although deep Neural Networks (DNNs) have achieved tremendous success in...
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05/26/2022
A Fair Federated Learning Framework With Reinforcement Learning
Federated learning (FL) is a paradigm where many clients collaboratively...
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05/26/2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Deep learning models have made significant progress in automatic program...
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05/26/2022
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information
Non-negative matrix factorization (NMF) based topic modeling is widely u...
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05/26/2022
Federated Split BERT for Heterogeneous Text Classification
Pre-trained BERT models have achieved impressive performance in many nat...
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05/26/2022
Cali3F: Calibrated Fast Fair Federated Recommendation System
The increasingly stringent regulations on privacy protection have sparke...
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05/25/2022
Augmentation-induced Consistency Regularization for Classification
Deep neural networks have become popular in many supervised learning tas...
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05/24/2022
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
With the rapid development of the Metaverse, virtual humans have emerged...
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02/23/2022
Towards Speaker Age Estimation with Label Distribution Learning
Existing methods for speaker age estimation usually treat it as a multi-...
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07/10/2021
Speech2Video: Cross-Modal Distillation for Speech to Video Generation
This paper investigates a novel task of talking face video generation so...
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07/10/2021
Variational Information Bottleneck for Effective Low-resource Audio Classification
Large-scale deep neural networks (DNNs) such as convolutional neural net...
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03/11/2021
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Pretrained text encoders, such as BERT, have been applied increasingly i...
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06/12/2020
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Control variates are a well-established tool to reduce the variance of M...
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11/10/2019