research
∙
09/04/2023
Federated cINN Clustering for Accurate Clustered Federated Learning
Federated Learning (FL) presents an innovative approach to privacy-prese...
share
research
∙
05/23/2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...
research
∙
02/27/2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
Reducing communication overhead in federated learning (FL) is challengin...
research
∙
11/19/2022
Personalized Federated Learning with Hidden Information on Personalized Prior
Federated learning (FL for simplification) is a distributed machine lear...
research
∙
11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
research
∙
11/02/2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) have achieved impressive success i...
research
∙
06/02/2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Diffusion probabilistic models (DPMs) are emerging powerful generative m...
research
∙
05/22/2022
Fast Instrument Learning with Faster Rates
We investigate nonlinear instrumental variable (IV) regression given hig...
research
∙
04/06/2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg
Federated learning (FL) is identified as a crucial enabler for large-sca...
research
∙
02/28/2022
Fuse Local and Global Semantics in Representation Learning
We propose Fuse Local and Global Semantics in Representation Learning (F...
research
∙
02/19/2022
Gradient Estimation with Discrete Stein Operators
Gradient estimation – approximating the gradient of an expectation with ...
research
∙
11/04/2021
Robust Online Detection in Serially Correlated Directed Network
As the complexity of production processes increases, the diversity of da...
research
∙
08/26/2021
Design of a Flying Humanoid Robot Based on Thrust Vector Control
Achieving short-distance flight helps improve the efficiency of humanoid...
research
∙
08/19/2021
Retrieval and Localization with Observation Constraints
Accurate visual re-localization is very critical to many artificial inte...
research
∙
06/16/2021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Recent years have witnessed an upsurge of interest in employing flexible...
research
∙
04/21/2021
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
In educational applications, Knowledge Tracing (KT), the problem of accu...
research
∙
12/12/2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg
Petabytes of data are generated each day by emerging Internet of Things ...
research
∙
12/11/2020
Limits of PageRank-based ranking methods in sports data
While PageRank has been extensively used to rank sport tournament partic...
research
∙
09/06/2020
HLSGD Hierarchical Local SGD With Stale Gradients Featuring
While distributed training significantly speeds up the training process ...
research
∙
07/23/2020
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
Synchronous strategies with data parallelism, such as the Synchronous St...
research
∙
05/25/2020
Learning to Simulate Dynamic Environments with GameGAN
Simulation is a crucial component of any robotic system. In order to sim...
research
∙
05/25/2020
Visual Localization Using Semantic Segmentation and Depth Prediction
In this paper, we propose a monocular visual localization pipeline lever...
research
∙
05/20/2020
Nonparametric Score Estimators
Estimating the score, i.e., the gradient of log density function, from a...
research
∙
06/12/2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
Despite the recent successes in robotic locomotion control, the design o...
research
∙
09/18/2017