b'Dacheng Tao'

research

∙ 09/20/2023

Are Large Language Models Really Robust to Word-Level Perturbations?

The swift advancement in the scale and capabilities of Large Language Mo...

0 Haoyu Wang, et al. ∙

research

∙ 09/19/2023

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks

Graph Neural Networks (GNNs) have become popular in Graph Representation...

0 Hao Liu, et al. ∙

research

∙ 09/18/2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data

Federated learning is an emerging distributed machine learning method, e...

0 Hao Sun, et al. ∙

research

∙ 09/11/2023

Temporal Action Localization with Enhanced Instant Discriminability

Temporal action detection (TAD) aims to detect all action boundaries and...

0 Dingfeng Shi, et al. ∙

research

∙ 09/02/2023

RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model

Text-to-image generation (TTI) refers to the usage of models that could ...

0 Fengxiang Bie, et al. ∙

research

∙ 09/01/2023

DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Nucleus segmentation is usually the first step in pathological image ana...

0 Shengcong Chen, et al. ∙

research

∙ 08/31/2023

Continual Learning From a Stream of APIs

Continual learning (CL) aims to learn new tasks without forgetting previ...

0 Enneng Yang, et al. ∙

research

∙ 08/31/2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation

The electronic design automation of analog circuits has been a longstand...

0 Zehao Dong, et al. ∙

research

∙ 08/30/2023

MerA: Merging Pretrained Adapters For Few-Shot Learning

Adapter tuning, which updates only a few parameters, has become a mainst...

0 Shwai He, et al. ∙

research

∙ 08/29/2023

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Most open-domain dialogue systems suffer from forgetting important infor...

0 Qingyue Wang, et al. ∙

research

∙ 08/22/2023

ShadowNet for Data-Centric Quantum System Learning

Understanding the dynamics of large quantum systems is hindered by the c...

0 Yuxuan Du, et al. ∙

research

∙ 08/18/2023

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent

Stochastic gradient descent (SGD) performed in an asynchronous manner pl...

0 Xiaoge Deng, et al. ∙

research

∙ 08/16/2023

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning

To address the communication burden issues associated with federated lea...

0 Qinglun Li, et al. ∙

research

∙ 08/05/2023

Cross-modal Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation

In recent years, cross-modal domain adaptation has been studied on the p...

0 Yiyang Chen, et al. ∙

research

∙ 08/03/2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

How to enable learnability for new classes while keeping the capability ...

0 Yibo Yang, et al. ∙

research

∙ 07/30/2023

Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup

Adaptive optimization has achieved notable success for distributed learn...

0 Yan Sun, et al. ∙

research

∙ 07/26/2023

PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions

Relying on large-scale training data with pixel-level labels, previous e...

0 Wenjie Xuan, et al. ∙

research

∙ 07/26/2023

Understanding Deep Neural Networks via Linear Separability of Hidden Layers

In this paper, we measure the linear separability of hidden layer output...

0 Chao Zhang, et al. ∙

research

∙ 07/22/2023

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach

A generative model for high-fidelity point clouds is of great importance...

0 Cheng Wen, et al. ∙

research

∙ 07/20/2023

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Federated learning (FL) has drawn increasing attention owing to its pote...

0 Mang Ye, et al. ∙

research

∙ 06/30/2023

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer

Deep neural networks often suffer from poor generalization due to comple...

0 Peng Mi, et al. ∙

research

∙ 06/16/2023

Structured Cooperative Learning with Graphical Model Priors

We study how to train personalized models for different tasks on decentr...

11 Shuangtong Li, et al. ∙

research

∙ 06/09/2023

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

Federated learning (FL) is a distributed paradigm that coordinates massi...

0 Yan Sun, et al. ∙

research

∙ 06/08/2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning

Recent works have shown the potential of diffusion models in computer vi...

0 Jifeng Hu, et al. ∙

research

∙ 06/06/2023

Transition role of entangled data in quantum machine learning

Entanglement serves as the resource to empower quantum computing. Recent...

0 Xinbiao Wang, et al. ∙

research

∙ 06/05/2023

Towards Arbitrarily Expressive GNNs in O(n^2) Space by Rethinking Folklore Weisfeiler-Lehman

Message passing neural networks (MPNNs) have emerged as the most popular...

0 Jiarui Feng, et al. ∙

research

∙ 06/05/2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training

Dense retrievers have achieved impressive performance, but their demand ...

0 Yibin Lei, et al. ∙

research

∙ 06/05/2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent

Decentralized stochastic gradient descent (D-SGD) allows collaborative l...

0 Tongtian Zhu, et al. ∙

research

∙ 06/05/2023

MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Significant advancements have been made in multi-object tracking (MOT) w...

0 Changcheng Xiao, et al. ∙

research

∙ 06/02/2023

Collect-and-Distribute Transformer for 3D Point Cloud Analysis

Although remarkable advancements have been made recently in point cloud ...

0 Haibo Qiu, et al. ∙

research

∙ 06/01/2023

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation

Text-conditional diffusion models are able to generate high-fidelity ima...

0 Minghui Hu, et al. ∙

research

∙ 06/01/2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking

Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...

0 Qingyue Wang, et al. ∙

research

∙ 05/28/2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Data-free meta-learning (DFML) aims to enable efficient learning of new ...

0 Zixuan Hu, et al. ∙

research

∙ 05/25/2023

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning

Data augmentation (DA) is a crucial technique for enhancing the sample e...

0 Guozheng Ma, et al. ∙

research

∙ 05/25/2023

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

Pseudo-labels are widely employed in weakly supervised 3D segmentation t...

0 Liyao Tang, et al. ∙

research

∙ 05/24/2023

Self-Evolution Learning for Discriminative Language Model Pretraining

Masked language modeling, widely used in discriminative language model (...

0 Qihuang Zhong, et al. ∙

research

∙ 05/24/2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining

Token dropping is a recently-proposed strategy to speed up the pretraini...

0 Qihuang Zhong, et al. ∙

research

∙ 05/24/2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

Personalized federated learning (PFL) aims to produce the greatest perso...

0 Yifan Shi, et al. ∙

research

∙ 05/23/2023

Improving Heterogeneous Model Reuse by Density Estimation

This paper studies multiparty learning, aiming to learn a model using th...

0 Anke Tang, et al. ∙

research

∙ 05/22/2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks

Text classification tasks often encounter few shot scenarios with limite...

0 Haoqi Zheng, et al. ∙

research

∙ 05/22/2023

VanillaNet: the Power of Minimalism in Deep Learning

At the heart of foundation models is the philosophy of "more is differen...

0 Hanting Chen, et al. ∙

research

∙ 05/19/2023

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape

In federated learning (FL), a cluster of local clients are chaired under...

0 Yan Sun, et al. ∙

research

∙ 05/16/2023

Prompt-Tuning Decision Transformer with Preference Ranking

Prompt-tuning has emerged as a promising method for adapting pre-trained...

0 Shengchao Hu, et al. ∙

research

∙ 05/10/2023

MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis

Existing multimodal conditional image synthesis (MCIS) methods generate ...

0 Jianbin Zheng, et al. ∙

research

∙ 05/01/2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

To defend the inference attacks and mitigate the sensitive information l...

3 Yifan Shi, et al. ∙

research

∙ 04/28/2023

Deep Graph Reprogramming

In this paper, we explore a novel model reusing task tailored for graph ...

0 Yongcheng Jing, et al. ∙

research

∙ 04/27/2023

Compositional 3D Human-Object Neural Animation

Human-object interactions (HOIs) are crucial for human-centric scene und...

0 Zhi Hou, et al. ∙

research

∙ 04/23/2023

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search

Recent neural architecture search (NAS) based approaches have made great...

0 Di Wang, et al. ∙

research

∙ 04/23/2023

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

The recent work known as Segment Anything (SA) has made significant stri...

0 Yongcheng Jing, et al. ∙

research

∙ 04/07/2023

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review

The field of deep learning has witnessed significant progress, particula...

0 Li Shen, et al. ∙

Dacheng Tao

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