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08/09/2023
Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA
Large Language Models (LLMs) have shown outstanding performance across w...
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07/26/2023
Low-Parameter Federated Learning with Large Language Models
We study few-shot Natural Language Understanding (NLU) tasks with Large ...
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05/05/2023
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
This perspective paper proposes a series of interactive scenarios that u...
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05/05/2023
Carbon Price Forecasting with Quantile Regression and Feature Selection
Carbon futures has recently emerged as a novel financial asset in the tr...
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04/27/2023
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
We investigate how to enhance answer precision in frequently asked quest...
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03/09/2023
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
In recent years, monocular depth estimation (MDE) has gained significant...
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08/29/2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
We study a practical yet hasn't been explored problem: how a drone can p...
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05/11/2022
Deep Depth Completion: A Survey
Depth completion aims at predicting dense pixel-wise depth from a sparse...
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09/08/2021
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
The annotation of domain experts is important for some medical applicati...
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04/01/2021
Federated Few-Shot Learning with Adversarial Learning
We are interested in developing a unified machine learning model over ma...
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06/12/2020
Projection Robust Wasserstein Distance and Riemannian Optimization
Projection robust Wasserstein (PRW) distance, or Wasserstein projection ...
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05/07/2020
Federated Generative Adversarial Learning
This work studies training generative adversarial networks under the fed...
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04/08/2019
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
In this paper, we propose a novel end-to-end trainable Video Question An...
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03/29/2018
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
In a world in which cameras are becoming more and more pervasive, scenes...
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02/07/2018
Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization
We consider the nonsmooth convex composition optimization problem where ...
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02/07/2018
Improved Incremental First-Order Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization
We consider the nonsmooth convex composition optimization problem where ...
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01/11/2018
Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction
Deep learning methods have surpassed the performance of traditional tech...
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05/20/2017
Forecasting Hands and Objects in Future Frames
This paper presents an approach to forecast future presence and location...
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08/12/2016
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
Lifelogging cameras capture everyday life from a first-person perspectiv...
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05/26/2016