AAAI 2023

2,023 papers

Boundary Graph Neural Networks for 3D Simulations

Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter

Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers

Eitan-Hai Mashiah, Idan Attias, Yishay Mansour

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Andrei Margeloiu, Nikola Simidjievski, Pietro Lió, Mateja Jamnik

Tight Performance Guarantees of Imitator Policies with Continuous Actions

Davide Maran, Alberto Maria Metelli, Marcello Restelli

Online Reinforcement Learning with Uncertain Episode Lengths

Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization

Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen

LIMIP: Lifelong Learning to Solve Mixed Integer Programs

Sahil Manchanda, Sayan Ranu

Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura

OMPQ: Orthogonal Mixed Precision Quantization

Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li

Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning

Xiaoting Lyu, Yufei Han, Wei Wang, Jingkai Liu, Bin Wang

Compositional Prototypical Networks for Few-Shot Classification

Qiang Lyu, Weiqiang Wang

Local Explanations for Reinforcement Learning

Ronny Luss, Amit Dhurandhar, Miao Liu

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network

Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin

Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning

Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu

Generative Label Enhancement with Gaussian Mixture and Partial Ranking

Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia

Multi-View Domain Adaptive Object Detection on Camera Networks

Yan Lu, Zhun Zhong, Yuanchao Shu

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

Shun Lu, YU HU, Peihao Wang, Yan Han, Jianchao Tan

Centerless Multi-View K-means Based on the Adjacency Matrix

Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia

A Coreset Learning Reality Check

Fred Lu, Edward Raff, James Holt

Q-functionals for Value-Based Continuous Control

Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris

Temporal-Frequency Co-training for Time Series Semi-supervised Learning

Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Xihong Yang, sihang zhou, Xinwang Liu, Zhen Wang

Online Hyperparameter Optimization for Class-Incremental Learning

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition

Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang

Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain

Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng

Safe Multi-View Deep Classification

Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks

Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles

Shengcai Liu, Fu Peng, Ke Tang

Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions

Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang

Combating Mode Collapse via Offline Manifold Entropy Estimation

Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness

Dianbo Liu, Alex Lamb, Xu Ji, Pascal Junior Tikeng Notsawo, Michael Mozer

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers

Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification

Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, zhihao wu

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning

Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering

Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu

Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control

Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli

On the Expressive Flexibility of Self-Attention Matrices

Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller

Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

Yiqiao Liao, Parinaz Naghizadeh

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu

Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning

Weijian Liao, Zongzhang Zhang, Yang Yu

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective

Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao

Stepdown SLOPE for Controlled Feature Selection

Jingxuan Liang, Xuelin Zhang, Hong Chen, Weifu Li, Xin Tang

SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem

Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni

Towards Inference Efficient Deep Ensemble Learning

Ziyue Li, Kan Ren, Yifan Yang, XINYANG JIANG, Yuqing Yang

Provable Pathways: Learning Multiple Tasks over Multiple Paths

Yingcong Li, Samet Oymak

Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks

Ye Li, Song-Can Chen, Sheng-jun Huang

An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks

Yanhong Li, Jack Xu, David C. Anastasiu

Learning Compact Features via In-Training Representation Alignment

Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu

Learning with Partial Labels from Semi-supervised Perspective

Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang

Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference

Xiangjie Li, Chenfei Lou, Yuchi Chen, Zhengping Zhu, Yingtao Shen

Metric Nearness Made Practical

Wenye Li, Fangchen Yu, Zichen Ma

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network

Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Huang Yongxiang

Nearest-Neighbor Sampling Based Conditional Independence Testing

Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering

Shouheng Li, Dongwoo Kim, Qing Wang

Understanding the Generalization Performance of Spectral Clustering Algorithms

Shaojie Li, Sheng Ouyang, Yong Liu

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng

Improved Kernel Alignment Regret Bound for Online Kernel Learning

Junfan Li, Shizhong Liao

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu

AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification

Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang

Dual Mutual Information Constraints for Discriminative Clustering

Hongyu Li, Lefei Zhang, Kehua Su

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

Hongming Li, Shujian Yu, Jose Principe

FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning

Haiyun Li, Jixin Zhang, Ning Xu, Mingyu Liu

When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space

Diyang Li, Bin Gu

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu

Learning Adversarially Robust Sparse Networks via Weight Reparameterization

Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

CHAO LI, Hao Xu, Kun He

Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP

Orin Levy, Yishay Mansour

Goal-Conditioned Q-learning as Knowledge Distillation

Alexander Levine, Soheil Feizi

Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning

Sunwoo Lee, Tuo Zhang, A. Salman Avestimehr

Demystifying Randomly Initialized Networks for Evaluating Generative Models

Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee

Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning

Jong-whi Lee, Jinhong Jung

Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment

Jong-Ryul Lee, Yong-Hyuk Moon

I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs

Dongjin Lee, Kijung Shin

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft

A Data Source for Reasoning Embodied Agents

Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, GUANNAN JIANG

WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer

Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj

LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling

Konstantin Kutzkov

Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping

Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er

The Effect of Diversity in Meta-Learning

Ramnath Kumar, Tristan Deleu, Yoshua Bengio

UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering

Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi

Almost Cost-Free Communication in Federated Best Arm Identification

Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan

Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness

Ezgi Korkmaz

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training

Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie

Georg Kohl, Li-Wei Chen, Nils Thuerey

The Influence of Dimensions on the Complexity of Computing Decision Trees

Stephen G. Kobourov, Maarten Löffler, Fabrizio Montecchiani, Marcin Pilipczuk, Ignaz Rutter

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters

Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee

A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise

Jongwoo Ko, Bongsoo Yi, Se-Young Yun

FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics

Kai Klede, Leo Schwinn, Dario Zanca, Björn Eskofier

Exploring Temporal Information Dynamics in Spiking Neural Networks

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer

Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits

Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik

Learning Topology-Specific Experts for Molecular Property Prediction

Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

Better Generalized Few-Shot Learning Even without Base Data

Seong-Woong Kim, Dong-Wan Choi

Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video

Minsu Kim, Chae Won Kim, Yong Man Ro

Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks

Keunseo Kim, Eun-Yeol Ma, Jeongman Choi, Heeyoung Kim

FLAME: Free-Form Language-Based Motion Synthesis & Editing

Jihoon Kim, Jiseob Kim, Sungjoon Choi

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection

Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung

CertiFair: A Framework for Certified Global Fairness of Neural Networks

Haitham Khedr, Yasser Shoukry

On Error and Compression Rates for Prototype Rules

Omer Kerem, Roi Weiss