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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 /

No. 7: AAAI-22 Technical Tracks 7

AAAI Technical Track on Machine Learning II

  • Interpretable Neural Subgraph Matching for Graph Retrieval

    Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De

    8115-8123

    PDF
  • FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

    Yichen Ruan, Carlee Joe-Wong

    8124-8131

    PDF
  • Knowledge Distillation via Constrained Variational Inference

    Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei Lehman

    8132-8140

    PDF
  • Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel

    Shota Saito

    8141-8149

    PDF
  • Reverse Differentiation via Predictive Coding

    Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz

    8150-8158

    PDF
  • VACA: Designing Variational Graph Autoencoders for Causal Queries

    Pablo Sánchez-Martin, Miriam Rateike, Isabel Valera

    8159-8168

    PDF
  • Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes

    Christian Schilling, Marcelo Forets, Sebastián Guadalupe

    8169-8177

    PDF
  • Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning

    Giseung Park, Sungho Choi, Youngchul Sung

    7941-7948

    PDF
  • Deformable Graph Convolutional Networks

    Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim

    7949-7956

    PDF
  • Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing

    Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

    7957-7965

    PDF
  • Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation

    Joonhyung Park, Hajin Shim, Eunho Yang

    7966-7974

    PDF
  • CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks

    Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets

    7975-7983

    PDF
  • Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance

    João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin

    7984-7992

    PDF
  • On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints

    Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

    7993-8000

    PDF
  • Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning

    Wachirawit Ponghiran, Kaushik Roy

    8001-8008

    PDF
  • How Private Is Your RL Policy? An Inverse RL Based Analysis Framework

    Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar

    8009-8016

    PDF
  • Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

    Xin Qiu, Risto Miikkulainen

    8017-8027

    PDF
  • DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions

    Jonathan Raiman

    8028-8035

    PDF
  • Federated Nearest Neighbor Classification with a Colony of Fruit-Flies

    Parikshit Ram, Kaushik Sinha

    8036-8044

    PDF
  • I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding

    Sirisha Rambhatla, Zhengping Che, Yan Liu

    8045-8053

    PDF
  • Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification

    Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

    8054-8061

    PDF
  • DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems

    Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel

    8062-8071

    PDF
  • Sublinear Time Approximation of Text Similarity Matrices

    Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco

    8072-8080

    PDF
  • Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments

    Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel

    8081-8088

    PDF
  • On Causally Disentangled Representations

    Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N Balasubramanian

    8089-8097

    PDF
  • Conditional Loss and Deep Euler Scheme for Time Series Generation

    Carl Remlinger, Joseph Mikael, Romuald Elie

    8098-8105

    PDF
  • Offline Reinforcement Learning as Anti-exploration

    Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist

    8106-8114

    PDF
  • What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies

    Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis

    7761-7769

    PDF
  • Top-Down Deep Clustering with Multi-Generator GANs

    Daniel P. M. de Mello, Renato M. Assunção, Fabricio Murai

    7770-7778

    PDF
  • Temporal Knowledge Graph Completion Using Box Embeddings

    Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

    7779-7787

    PDF
  • An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity

    Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum

    7788-7796

    PDF
  • Simple Unsupervised Graph Representation Learning

    Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

    7797-7805

    PDF
  • The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection

    Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar

    7806-7813

    PDF
  • Learning Bayesian Networks in the Presence of Structural Side Information

    Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

    7814-7822

    PDF
  • Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks

    Seungyong Moon, Gaon An, Hyun Oh Song

    7823-7830

    PDF
  • Provable Guarantees for Understanding Out-of-Distribution Detection

    Peyman Morteza, Yixuan Li

    7831-7840

    PDF
  • Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning

    Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill

    7841-7849

    PDF
  • Unsupervised Reinforcement Learning in Multiple Environments

    Mirco Mutti, Mattia Mancassola, Marcello Restelli

    7850-7858

    PDF
  • Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning

    Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam

    7859-7867

    PDF
  • A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations

    Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu

    7868-7876

    PDF
  • Out of Distribution Data Detection Using Dropout Bayesian Neural Networks

    Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

    7877-7885

    PDF
  • Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation

    Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon

    7886-7894

    PDF
  • Improving Evidential Deep Learning via Multi-Task Learning

    Dongpin Oh, Bonggun Shin

    7895-7903

    PDF
  • Clustering Approach to Solve Hierarchical Classification Problem Complexity

    Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

    7904-7912

    PDF
  • Random Tensor Theory for Tensor Decomposition

    Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau

    7913-7921

    PDF
  • Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks

    Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

    7922-7930

    PDF
  • Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations

    Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis

    7931-7940

    PDF
  • Trusted Multi-View Deep Learning with Opinion Aggregation

    Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux

    7585-7593

    PDF
  • Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching

    Xin Liu, Yangqiu Song

    7594-7602

    PDF
  • Deep Graph Clustering via Dual Correlation Reduction

    Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu

    7603-7611

    PDF
  • Optimistic Initialization for Exploration in Continuous Control

    Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris

    7612-7619

    PDF
  • Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation

    Alexander Long, Alan Blair, Herke van Hoof

    7620-7627

    PDF
  • Frozen Pretrained Transformers as Universal Computation Engines

    Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

    7628-7636

    PDF
  • Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy

    Fan-Ming Luo, Shengyi Jiang, Yang Yu, ZongZhang Zhang, Yi-Feng Zhang

    7637-7646

    PDF
  • Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning

    Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng

    7647-7654

    PDF
  • Efficient Continuous Control with Double Actors and Regularized Critics

    Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li

    7655-7663

    PDF
  • Recursive Reasoning Graph for Multi-Agent Reinforcement Learning

    Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer

    7664-7671

    PDF
  • Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements

    Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi

    7672-7681

    PDF
  • Cross-Lingual Adversarial Domain Adaptation for Novice Programming

    Ye Mao, Farzaneh Khoshnevisan, Thomas Price, Tiffany Barnes, Min Chi

    7682-7690

    PDF
  • Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

    Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

    7691-7700

    PDF
  • Exploring Safer Behaviors for Deep Reinforcement Learning

    Enrico Marchesini, Davide Corsi, Alessandro Farinelli

    7701-7709

    PDF
  • fGOT: Graph Distances Based on Filters and Optimal Transport

    Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

    7710-7718

    PDF
  • When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty

    Fernando Martínez-Plumed, David Castellano, Carlos Monserrat-Aranda, José Hernández-Orallo

    7719-7727

    PDF
  • Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks

    Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

    7728-7735

    PDF
  • An Experimental Design Approach for Regret Minimization in Logistic Bandits

    Blake Mason, Kwang-Sung Jun, Lalit Jain

    7736-7743

    PDF
  • Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training

    Estelle Massart, Vinayak Abrol

    7744-7751

    PDF
  • Curiosity-Driven Exploration via Latent Bayesian Surprise

    Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt

    7752-7760

    PDF
  • Chunk Dynamic Updating for Group Lasso with ODEs

    Diyang Li, Bin Gu

    7408-7416

    PDF
  • Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model

    Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

    7417-7425

    PDF
  • A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse

    Junyi Li, Bin Gu, Heng Huang

    7426-7434

    PDF
  • A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data

    Yan Li, Rui Xia, Chunchen Liu, Liang Sun

    7435-7443

    PDF
  • Sharp Analysis of Random Fourier Features in Classification

    Zhu Li

    7444-7452

    PDF
  • Zeroth-Order Optimization for Composite Problems with Functional Constraints

    Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu

    7453-7461

    PDF
  • Robust Graph-Based Multi-View Clustering

    Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

    7462-7469

    PDF
  • Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting

    Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

    7470-7478

    PDF
  • On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations

    Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin

    7479-7487

    PDF
  • Deep Unsupervised Hashing with Latent Semantic Components

    Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

    7488-7496

    PDF
  • SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models

    Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun

    7497-7505

    PDF
  • RareGAN: Generating Samples for Rare Classes

    Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

    7506-7515

    PDF
  • Conjugated Discrete Distributions for Distributional Reinforcement Learning

    Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl

    7516-7524

    PDF
  • Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

    Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli

    7525-7533

    PDF
  • Learning Parameterized Task Structure for Generalization to Unseen Entities

    Anthony Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee

    7534-7541

    PDF
  • Stationary Diffusion State Neural Estimation for Multiview Clustering

    Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan

    7542-7549

    PDF
  • Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process

    Huafeng Liu, Tong Zhou, Jiaqi Wang

    7550-7557

    PDF
  • Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning

    Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

    7558-7566

    PDF
  • Transformer with Memory Replay

    Rui Liu, Barzan Mozafari

    7567-7575

    PDF
  • Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors

    Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

    7576-7584

    PDF
  • Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs

    Ezgi Korkmaz

    7229-7238

    PDF
  • Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method

    James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck

    7239-7246

    PDF
  • Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

    Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

    7247-7254

    PDF
  • Gradient Based Activations for Accurate Bias-Free Learning

    Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P Namboodiri

    7255-7262

    PDF
  • TrustAL: Trustworthy Active Learning Using Knowledge Distillation

    Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo

    7263-7271

    PDF
  • Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations

    Jianglin Lan, Yang Zheng, Alessio Lomuscio

    7272-7280

    PDF
  • Learning Adversarial Markov Decision Processes with Delayed Feedback

    Tal Lancewicki, Aviv Rosenberg, Yishay Mansour

    7281-7289

    PDF
  • Learning Not to Learn: Nature versus Nurture In Silico

    Robert Tjarko Lange, Henning Sprekeler

    7290-7299

    PDF
  • Optimization for Classical Machine Learning Problems on the GPU

    Sören Laue, Mark Blacher, Joachim Giesen

    7300-7308

    PDF
  • Interpretable Clustering via Multi-Polytope Machines

    Connor Lawless, Jayant Kalagnanam, Lam M Nguyen, Dzung Phan, Chandra Reddy

    7309-7316

    PDF
  • Episodic Policy Gradient Training

    Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh

    7317-7325

    PDF
  • Stability Verification in Stochastic Control Systems via Neural Network Supermartingales

    Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger

    7326-7336

    PDF
  • Learning Losses for Strategic Classification

    Tosca Lechner, Ruth Urner

    7337-7344

    PDF
  • Differentially Private Normalizing Flows for Synthetic Tabular Data Generation

    Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

    7345-7353

    PDF
  • Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks

    Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang

    7354-7362

    PDF
  • Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold

    Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo

    7363-7371

    PDF
  • Augmentation-Free Self-Supervised Learning on Graphs

    Namkyeong Lee, Junseok Lee, Chanyoung Park

    7372-7380

    PDF
  • Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling

    Sokbae Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin

    7381-7389

    PDF
  • Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates

    Dan Ley, Umang Bhatt, Adrian Weller

    7390-7398

    PDF
  • Invariant Information Bottleneck for Domain Generalization

    Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

    7399-7407

    PDF
  • Classifying Emails into Human vs Machine Category

    Changsung Kang, Hongwei Shang, Jean-Marc Langlois

    7069-7077

    PDF
  • Self-Supervised Enhancement of Latent Discovery in GANs

    Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S. Sumitra

    7078-7086

    PDF
  • Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers

    Payam Karisani

    7087-7095

    PDF
  • Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit

    Nikolai Karpov, Qin Zhang

    7096-7103

    PDF
  • iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection

    Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

    7104-7114

    PDF
  • Partial Wasserstein Covering

    Keisuke Kawano, Satoshi Koide, Keisuke Otaki

    7115-7123

    PDF
  • Optimal Tensor Transport

    Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot, Marc Sebban

    7124-7132

    PDF
  • Dist2Cycle: A Simplicial Neural Network for Homology Localization

    Alexandros D Keros, Vidit Nanda, Kartic Subr

    7133-7142

    PDF
  • Same State, Different Task: Continual Reinforcement Learning without Interference

    Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

    7143-7151

    PDF
  • Spatial Frequency Bias in Convolutional Generative Adversarial Networks

    Mahyar Khayatkhoei, Ahmed Elgammal

    7152-7159

    PDF
  • The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning

    Daniel Kienitz, Ekaterina Komendantskaya, Michael Lones

    7160-7167

    PDF
  • A Computable Definition of the Spectral Bias

    Jonas Kiessling, Filip Thor

    7168-7175

    PDF
  • A Nested Bi-level Optimization Framework for Robust Few Shot Learning

    Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh Iyer

    7176-7184

    PDF
  • Fast Monte-Carlo Approximation of the Attention Mechanism

    Hyunjun Kim, JeongGil Ko

    7185-7193

    PDF
  • Towards a Rigorous Evaluation of Time-Series Anomaly Detection

    Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

    7194-7201

    PDF
  • Introducing Symmetries to Black Box Meta Reinforcement Learning

    Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

    7202-7210

    PDF
  • Directed Graph Auto-Encoders

    Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Ide, Aurélie Lozano, Naoki Abe

    7211-7219

    PDF
  • HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks

    Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

    7220-7228

    PDF

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