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06/21/2023
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue
Large multimodal language models (LMMs) have achieved significant succes...
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01/28/2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks
Simulation of the dynamics of physical systems is essential to the devel...
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11/30/2021
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks
Molecular dynamics (MD) simulation predicts the trajectory of atoms by s...
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07/21/2021
Defending against Reconstruction Attack in Vertical Federated Learning
Recently researchers have studied input leakage problems in Federated Le...
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06/10/2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
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04/27/2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Deep learning models in large-scale machine learning systems are often c...
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02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
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07/12/2020
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
One of the core problems in large-scale recommendations is to retrieve t...
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01/27/2019
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
We show that model compression can improve the population risk of a pre-...
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10/09/2018
Rate Distortion For Model Compression: From Theory To Practice
As the size of neural network models increases dramatically today, study...
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10/09/2018
Learning One-hidden-layer Neural Networks under General Input Distributions
Significant advances have been made recently on training neural networks...
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11/23/2017
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
We analyze the Kozachenko--Leonenko (KL) nearest neighbor estimator for ...
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09/12/2017
Discovering Potential Correlations via Hypercontractivity
Discovering a correlation from one variable to another variable is of fu...
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09/07/2016
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Estimators of information theoretic measures such as entropy and mutual ...
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04/11/2016
Demystifying Fixed k-Nearest Neighbor Information Estimators
Estimating mutual information from i.i.d. samples drawn from an unknown ...
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02/10/2016