AAAI 2024

2,864 papers

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection

Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue

Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

Ding-Chu Zhang, Zhi Zhou, Yu-feng Li

Targeted Activation Penalties Help CNNs Ignore Spurious Signals

Dekai Zhang, Matt Williams, Francesca Toni

Learning Cluster-Wise Anchors for Multi-View Clustering

Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li, Zhixi Feng, Zhihao Chang

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu

Generalizing across Temporal Domains with Koopman Operators

Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu

Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction

Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin CUI

TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation

Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang Yu, Danruo DENG, Furui Liu, Qi Dou, Yueming Jin

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning

Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering

Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang

A Non-parametric Graph Clustering Framework for Multi-View Data

Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu

Barely Supervised Learning for Graph-Based Fraud Detection

Hang Yu, Zhengyang Liu, Xiangfeng Luo

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing

Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang

Chronic Poisoning: Backdoor Attack against Split Learning

Fangchao Yu, Bo Zeng, KAI ZHAO, Zhi Pang, Lina Wang

Online Boosting Adaptive Learning under Concept Drift for Multistream Classification

En Yu, Jie Lu, Bin Zhang, Guangquan Zhang

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval

Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng

Dynamic Spiking Graph Neural Networks

Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving

Jun Yin, Shiliang Sun, Lai Wei, Pei Wang

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers

Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang

Uncertainty Regularized Evidential Regression

Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian G. Bors

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian G. Bors

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process

Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin

VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization

mingshuai Yao, Yabo Zhang, Xianhui Lin, Xiaoming Li, Wangmeng Zuo

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Adversarial Purification with the Manifold Hypothesis

Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard Hartley, Peter Tu

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

YongJin Yang, Taehyeon Kim, Se-Young Yun

Safe Abductive Learning in the Presence of Inaccurate Rules

Xiao-wen Yang, Jie-Jing Shao, Wei-Wei Tu, Yu-feng Li, Wang-Zhou Dai

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao, YAN ZHENG, Matthew E. Taylor

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

Multi-Modal Disordered Representation Learning Network for Description-Based Person Search

Fan Yang, Wei Li, Menglong Yang, Binbin Liang, Jianwei Zhang

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization

Yan Yan, Yuhong Guo

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lü, Yuwei Wu, Yunde Jia

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng

E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning

Wangkun Xu, Jianhong Wang, Fei Teng

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, GAOFENG MENG, Xing Nie, Bolin Ni, Bin Fan

LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification

Kunlun Xu, Xu Zou, Jiahuan Zhou

PTMQ: Post-training Multi-Bit Quantization of Neural Networks

Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

Union Subgraph Neural Networks

Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han

Sparse Variational Student-t Processes

Jian Xu, Delu Zeng

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures

Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren

Reliable Conflictive Multi-View Learning

Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

Siheng Xiong, Yuan Yang, Ali Payani, James C Kerce, Faramarz Fekri

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

GUOJUN XIONG, Gang Yan, Shiqiang Wang, Jian Li

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang

VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding

Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan

MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning

Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts

Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu

AUC Optimization from Multiple Unlabeled Datasets

Zheng Xie, Yu Liu, Ming Li

Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness

Chenghan Xie, Chenxi Li, Chuwen Zhang, Qi Deng, DongDong Ge

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen

A Separation and Alignment Framework for Black-Box Domain Adaptation

Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

Self-Training Based Few-Shot Node Classification by Knowledge Distillation

Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

Yanru Wu, Jianning Wang, Weida Wang, Yang Li

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, YAN ZHENG

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, shubham sharma, Sunandita Patra, Sriram Gopalakrishnan

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning

Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

Dong-Dong Wu, Deng-Bao Wang, Min-ling Zhang

Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability

Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu

Robust Loss Functions for Training Decision Trees with Noisy Labels

Jonathan Wilton, Nan Ye

Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods

Luisa Werner, Nabil Layaïda, Pierre Genevès, Jérôme Euzenat, Damien Graux

Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen

Communication Efficient Distributed Newton Method over Unreliable Networks

Ming Wen, Chengchang Liu, Yuedong Xu