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02/28/2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Learning to Optimize (L2O) has drawn increasing attention as it often re...
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02/22/2023
Learning to Generalize Provably in Learning to Optimize
Learning to optimize (L2O) has gained increasing popularity, which autom...
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10/18/2022
Embedded Silicon-Organic Integrated Neuromorphic System
The development of artificial intelligence (AI) and robotics are both ba...
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10/18/2022
The Brain-Inspired Cooperative Shared Control for Brain-Machine Interface
In the practical application of brain-machine interface technology, the ...
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11/30/2021
ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
Retinal surgery is a complex medical procedure that requires exceptional...
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08/03/2021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control
Impact mitigation is crucial to the stable locomotion of legged robots, ...
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06/08/2021
Provably Faster Algorithms for Bilevel Optimization
Bilevel optimization has been widely applied in many important machine l...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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11/13/2020
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Modern deep neural network (DNN) trainings utilize various training tech...
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10/15/2020
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning
Bilevel optimization has arisen as a powerful tool for many machine lear...
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09/15/2020
Multi-span Style Extraction for Generative Reading Comprehension
Generative machine reading comprehension (MRC) requires a model to gener...
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02/18/2020
Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms
As a popular meta-learning approach, the model-agnostic meta-learning (M...
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01/27/2020
Retrospective Reader for Machine Reading Comprehension
Machine reading comprehension (MRC) is an AI challenge that requires mac...
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11/05/2019
Deepening Hidden Representations from Pre-trained Language Models for Natural Language Understanding
Transformer-based pre-trained language models have proven to be effectiv...
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01/02/2019