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05/23/2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipshitz Restraint
A self-explaining rationalization model is generally constructed by a co...
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05/08/2023
MGR: Multi-generator based Rationalization
Rationalization is to employ a generator and a predictor to construct a ...
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05/06/2023
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
This paper addresses the temporal sentence grounding (TSG). Although exi...
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03/20/2023
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
This paper investigates a new, practical, but challenging problem named ...
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03/14/2023
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Online Class-Incremental (OCI) learning has sparked new approaches to ex...
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11/15/2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Federated Learning (FL) is an emerging paradigm that enables distributed...
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11/14/2022
PMR: Prototypical Modal Rebalance for Multimodal Learning
Multimodal learning (MML) aims to jointly exploit the common priors of d...
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09/17/2022
FR: Folded Rationalization with a Unified Encoder
Conventional works generally employ a two-phase model in which a generat...
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04/14/2022
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
Traditional one-bit compressed stochastic gradient descent can not be di...
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12/17/2021
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
In the setting of federated optimization, where a global model is aggreg...
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11/04/2021
Parameterized Knowledge Transfer for Personalized Federated Learning
In recent years, personalized federated learning (pFL) has attracted inc...
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01/22/2020
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning
Federated Learning is a powerful machine learning paradigm to cooperativ...
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02/21/2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Distributed asynchronous offline training has received widespread attent...
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01/27/2019
