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09/12/2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Recently, multi-modal vision-language foundation models have gained sign...
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08/18/2023
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Role-playing chatbots built on large language models have drawn interest...
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08/17/2023
Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
Text recognition methods are gaining rapid development. Some advanced te...
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07/14/2023
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus
Large language models (LLMs) have achieved significant performance in ma...
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04/12/2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification
The ability to incrementally learn new classes from limited samples is c...
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03/15/2023
A Comprehensive Study on Post-Training Quantization for Large Language Models
Post-training quantization () had been recently shown as a compromising ...
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01/21/2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
With the growing model size, deep neural networks (DNN) are increasingly...
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11/24/2022
Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates
We consider performing simulation experiments in the presence of covaria...
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11/15/2022
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Brain tumor segmentation based on multi-modal magnetic resonance imaging...
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06/30/2022
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
The past several years have witnessed the success of transformer-based m...
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12/09/2020
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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08/20/2020
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
Computer vision (CV) has achieved great success in interpreting semantic...
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04/26/2020
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching
Many information retrieval and natural language processing problems can ...
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11/30/2018
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank
TensorFlow Ranking is the first open source library for solving large-sc...
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11/19/2018
Optimal Iterative Threshold-Kernel Estimation of Jump Diffusion Processes
In this paper, we study a threshold-kernel estimation method for jump-di...
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10/24/2018
