AAAI 2023

2,023 papers

CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials

Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng

GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting

songmin dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu

Augmented Proximal Policy Optimization for Safe Reinforcement Learning

Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan

Contrastive Learning with the Feature Reconstruction Amplifier

Wentao Cui, Liang Bai

Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators

Wenhai Cui, Xiaoting Ji, Linglong Kong, Xiaodong Yan

Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity

Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying LI

End-to-End Learning for Optimization via Constraint-Enforcing Approximators

Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian L Quanz, Ioannis Spantidakis

Continuous Mixtures of Tractable Probabilistic Models

Alvaro H.C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio de Campos, Robert Peharz

Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs

Edith Cohen, Jelani Nelson, Tamas Sarlos, Uri Stemmer

Exploiting Multiple Abstractions in Episodic RL via Reward Shaping

Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi

Scalable Spatiotemporal Graph Neural Networks

Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher

Vikram S Chundawat, Ayush K Tarun, Murari Mandal, Mohan Kankanhalli

On the Complexity of PAC Learning in Hilbert Spaces

Sergei Chubanov

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation

Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

PrimeNet: Pre-training for Irregular Multivariate Time Series

Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta

Learning Optimal Features via Partial Invariance

Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

MobileTL: On-Device Transfer Learning with Inverted Residual Blocks

Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization

Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

Offline Quantum Reinforcement Learning in a Conservative Manner

Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao

Partial-Label Regression

Xin Cheng, Deng-Bao Wang, Lei Feng, Min-ling Zhang, Bo An

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning

Jiashun Cheng, Man Li, Jia Li, Fugee Tsung

Causal Inference with Conditional Instruments Using Deep Generative Models

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu

TC-DWA:Text Clustering with Dual Word-Level Augmentation

Bo Cheng, Ximing Li, Yi Chang

Riemannian Local Mechanism for SPD Neural Networks

Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang

Topological Pooling on Graphs

Yuzhou Chen, Yulia R. Gel

Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator

Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao

The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure

Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, haiyin piao

Supervised Contrastive Few-Shot Learning for High-Frequency Time Series

Xi Chen, Cheng Ge, Ming Wang, Jin Wang

Min-Max Submodular Ranking for Multiple Agents

Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang

Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding

Qianyu Chen, Xin Li, Kunnan Geng, Mingzhong Wang

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer

Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu

On the Stability and Generalization of Triplet Learning

Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li

Attribute and Structure Preserving Graph Contrastive Learning

Jialu Chen, Gang Kou

Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming

Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar

Graph Ordering Attention Networks

Michail Chatzianastasis, Johannes Lutzeyer, George Dasoulas, Michalis Vazirgiannis

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramirez, Max Mergenthaler Canseco

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian Sadler

Learning Pessimism for Reinforcement Learning

Edoardo Cetin, Oya Celiktutan

Invariant Representations with Stochastically Quantized Neural Networks

Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer

Soft Action Priors: Towards Robust Policy Transfer

Matheus Centa, Philippe Preux

An Equivalence Analysis of Binary Quantification Methods

Alberto Castaño, Jaime Alonso, Pablo González, Juan José del Coz

Very Fast, Approximate Counterfactual Explanations for Decision Forests

Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

Unfooling Perturbation-Based Post Hoc Explainers

Zachariah Carmichael, Walter J. Scheirer

Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams

Yukun Cao, Yuan Feng, Xike Xie

InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting

Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng

FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning

Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning

Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan

Semantic-Enhanced Image Clustering

Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

Federico Cabitza, Andrea Campagner, Valerio Basile

Scalable Theory-Driven Regularization of Scene Graph Generation Models

Davide Buffelli, Efthymia Tsamoura

Fully-Dynamic Decision Trees

Marco Bressan, Gabriel Damay, Mauro Sozio

A Parameterized Theory of PAC Learning

Cornelius Brand, Robert Ganian, Kirill Simonov

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

Garrett Bingham, Risto Miikkulainen

An Improved Algorithm for Online Min-Sum Set Cover

Marcin Bienkowski, Marcin Mucha

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

Lucas Berry, David Meger

Sustaining Fairness via Incremental Learning

Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney

Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions

Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Toyotaro Suzumura, Manish Singh

Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows

Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li

Fairness and Welfare Quantification for Regret in Multi-Armed Bandits

Siddharth Barman, Arindam Khan, Arnab Maiti, Ayush Sawarni

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

Optimal Sparse Recovery with Decision Stumps

Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm

Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

Fengshuo Bai, Hongming Zhang, Tianyang Tao, Zhiheng Wu, Yanna Wang

Generalizing Downsampling from Regular Data to Graphs

Davide Bacciu, Alessio Conte, Francesco Landolfi

Meta-Learning for Simple Regret Minimization

Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya

Tree Learning: Optimal Sample Complexity and Algorithms

Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das

Fully Dynamic Online Selection through Online Contention Resolution Schemes

Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo

Simulating Network Paths with Recurrent Buffering Units

Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, SUNDARARAJAN SELLAMANICKAM

Contrastive Classification and Representation Learning with Probabilistic Interpretation

Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino

Clustering What Matters: Optimal Approximation for Clustering with Outliers

Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning

Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions

Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili

Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning

Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna

Approximating Full Conformal Prediction at Scale via Influence Functions

Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin

RETRACTED: McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning

Daoming Zong, Shiliang Sun

Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling

Yifei Zhang, Neng Gao, Cunqing Ma

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data

Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan

DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space

Songlin Zhai, Weiqing Wang, Yuanfang Li, Yuan Meng

Visually Grounded Commonsense Knowledge Acquisition

Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie

Efficient Extraction of EL-Ontology Deductive Modules

Hui Yang, Yue Ma, Nicole Bidoit

Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals

Przemysław A. Wałęga, Michał Zawidzki, Dingmin Wang, Bernardo Cuenca Grau

Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines

Son N. Tran, Artur d'Avila Garcez

On Undisputed Sets in Abstract Argumentation

Matthias Thimm

Learning to Break Symmetries for Efficient Optimization in Answer Set Programming

Alice Tarzariol, Martin Gebser, Konstantin Schekotihin, Mark Law

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

Implementing Bounded Revision via Lexicographic Revision and C-revision

Meliha Sezgin, Gabriele Kern-Isberner

Editing Boolean Classifiers: A Belief Change Perspective

Nicolas Schwind, Katsumi Inoue, Pierre Marquis

Learning Interpretable Temporal Properties from Positive Examples Only

Rajarshi Roy, Jean-Raphael Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance

Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou

Distributed Spectrum-Based Fault Localization

Avraham Natan, Roni Stern, Meir Kalech

Efficient Answer Enumeration in Description Logics with Functional Roles

Carsten Lutz, Marcin Przybyłko

Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking

Kailun Luo

DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing

Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao

Tengjun Liu, Ying Chen, Wanxuan Gu

Two Views of Constrained Differential Privacy: Belief Revision and Update

Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng