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08/21/2023
Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space
We present HyperSeg, a hyperdimensional computing (HDC) approach to unsu...
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08/11/2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Collaborative filtering (CF) is a pivotal technique in modern recommende...
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05/22/2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering
Because implicit user feedback for the collaborative filtering (CF) mode...
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05/12/2023
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices
3D object detection using point cloud (PC) data is vital for autonomous ...
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02/23/2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
Pre-trained Transformer models such as BERT have shown great success in ...
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12/21/2022
Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization
Uniform-precision neural network quantization has gained popularity sinc...
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10/17/2022
Leveraging Non-dialogue Summaries for Dialogue Summarization
To mitigate the lack of diverse dialogue summarization datasets in acade...
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10/13/2022
LIME: Weakly-Supervised Text Classification Without Seeds
In weakly-supervised text classification, only label names act as source...
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07/26/2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback
Implicit feedback has been widely used to build commercial recommender s...
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05/26/2022
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
We advance the state-of-the-art in unsupervised abstractive dialogue sum...
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12/03/2021
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference
Non-linear operations such as GELU, Layer normalization, and Softmax are...
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08/05/2021
Finetuning Pretrained Transformers into Variational Autoencoders
Text variational autoencoders (VAEs) are notorious for posterior collaps...
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08/04/2021
