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09/18/2023
Deep Prompt Tuning for Graph Transformers
Graph transformers have gained popularity in various graph-based tasks b...
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08/06/2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
Multi-party collaborative training, such as distributed learning and fed...
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07/27/2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
The success of automated medical image analysis depends on large-scale a...
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07/17/2023
AlpaGasus: Training A Better Alpaca with Fewer Data
Large language models (LLMs) obtain instruction-following capability thr...
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07/16/2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Forgetting refers to the loss or deterioration of previously acquired in...
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06/05/2023
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
Large language models (LLMs) are instruction followers, but it can be ch...
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06/01/2023
Prediction of Post-Operative Renal and Pulmonary Complication Using Transformers
Postoperative complications pose a significant challenge in the healthca...
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05/25/2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction
Recent advancements in the acquisition of various brain data sources hav...
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05/23/2023
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
The compositional zero-shot learning (CZSL) task aims to recognize unsee...
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05/03/2023
Backdoor Learning on Sequence to Sequence Models
Backdoor learning has become an emerging research area towards building ...
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05/03/2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
Recent studies show that prompt tuning can better leverage the power of ...
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04/12/2023
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction
Direct optimization of interpolated features on multi-resolution voxel g...
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04/06/2023
When do you need Chain-of-Thought Prompting for ChatGPT?
Chain-of-Thought (CoT) prompting can effectively elicit complex multi-st...
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02/13/2023
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems
Bilevel Optimization has witnessed notable progress recently with new em...
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02/13/2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging
Federated learning (FL) is an emerging learning paradigm to tackle massi...
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02/08/2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
The minimax optimization over Riemannian manifolds (possibly nonconvex c...
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01/10/2023
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
In this paper we consider finding an approximate second-order stationary...
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12/09/2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network
A lot of theoretical and empirical evidence shows that the flatter local...
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12/02/2022
Faster Adaptive Federated Learning
Federated learning has attracted increasing attention with the emergence...
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10/27/2022
BI AVAN: Brain inspired Adversarial Visual Attention Network
Visual attention is a fundamental mechanism in the human brain, and it i...
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10/25/2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Recommender systems are widely used in industry to improve user experien...
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10/14/2022
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Distributed data mining is an emerging research topic to effectively and...
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09/07/2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
Convolutional Neural Networks (CNNs) compression is crucial to deploying...
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08/11/2022
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
Sparsity regularized loss minimization problems play an important role i...
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08/09/2022
Aesthetic Language Guidance Generation of Images Using Attribute Comparison
With the vigorous development of mobile photography technology, major mo...
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08/09/2022
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2
Image aesthetic quality assessment is popular during the last decade. Be...
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07/14/2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Recently brain networks have been widely adopted to study brain dynamics...
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07/08/2022
Balanced Self-Paced Learning for AUC Maximization
Learning to improve AUC performance is an important topic in machine lea...
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06/11/2022
Communication-Efficient Robust Federated Learning with Noisy Labels
Federated learning (FL) is a promising privacy-preserving machine learni...
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05/03/2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
Bilevel Optimization has witnessed notable progress recently with new em...
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04/23/2022
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization
Distributed optimization has been widely used as one of the most efficie...
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03/19/2022
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
Vertical federated learning (VFL) attracts increasing attention due to t...
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03/18/2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
Cross-silo federated learning (FL) has attracted much attention in medic...
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02/10/2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
In our previous work, i.e., HNF-Net, high-resolution feature representat...
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12/09/2021
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
In this paper, we propose a new Hessian inverse free Fully Single Loop A...
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10/29/2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Deep Metric Learning (DML) plays a critical role in various machine lear...
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09/26/2021
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Vertical federated learning (VFL) is an effective paradigm of training t...
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09/18/2021
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization
The conditional gradient algorithm (also known as the Frank-Wolfe algori...
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08/09/2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
Automated and accurate segmentation of the infected regions in computed ...
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08/09/2021
Boundary-aware Graph Reasoning for Semantic Segmentation
In this paper, we propose a Boundary-aware Graph Reasoning (BGR) module ...
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07/26/2021
Enhanced Bilevel Optimization via Bregman Distance
Bilevel optimization has been widely applied many machine learning probl...
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07/08/2021
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
In this paper, we present Fedlearn-Algo, an open-source privacy preservi...
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06/30/2021
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
In the paper, we propose a class of faster adaptive gradient descent asc...
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06/23/2021
Bregman Gradient Policy Optimization
In this paper, we design a novel Bregman gradient policy optimization fr...
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06/21/2021
BiAdam: Fast Adaptive Bilevel Optimization Methods
Bilevel optimization recently has attracted increased interest in machin...
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06/21/2021
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning
In the paper, we propose an effective and efficient Compositional Federa...
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06/15/2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Adaptive gradient methods have shown excellent performance for solving m...
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04/09/2021
Learning Sampling Policy for Faster Derivative Free Optimization
Zeroth-order (ZO, also known as derivative-free) methods, which estimate...
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03/09/2021
Doubly Contrastive Deep Clustering
Deep clustering successfully provides more effective features than conve...
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03/04/2021