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06/21/2023
Continual Learners are Incremental Model Generalizers
Motivated by the efficiency and rapid convergence of pre-trained models ...
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06/20/2023
Progressive Neural Representation for Sequential Video Compilation
Neural Implicit Representations (NIR) have gained significant attention ...
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04/04/2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Token-based masked generative models are gaining popularity for their fa...
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03/27/2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which states t...
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11/19/2022
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection
Self-supervised Video Representation Learning (VRL) aims to learn transf...
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09/15/2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which hypothes...
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07/04/2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Neural network quantization aims to transform high-precision weights and...
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06/21/2022
Personalized Subgraph Federated Learning
In real-world scenarios, subgraphs of a larger global graph may be distr...
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02/23/2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
In practical federated learning scenarios, the participating devices may...
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10/13/2021
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
Continual learning (CL) aims to learn a sequence of tasks without forget...
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06/02/2021
Online Coreset Selection for Rehearsal-based Continual Learning
A dataset is a shred of crucial evidence to describe a task. However, ea...
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06/22/2020
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning
As deep neural networks are growing in size and being increasingly deplo...
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06/22/2020
Federated Semi-Supervised Learning with Inter-Client Consistency
While existing federated learning approaches mostly require that clients...
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03/06/2020
Federated Continual Learning with Adaptive Parameter Communication
There has been a surge of interest in continual learning and federated l...
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02/25/2019
ORACLE: Order Robust Adaptive Continual LEarning
The order of the tasks a continual learning model encounters may have la...
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05/28/2018
