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

No. 8: AAAI-22 Technical Tracks 8

AAAI Technical Track on Machine Learning III

  • Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks

    Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

    9180-9189

    PDF
  • Error-Based Knockoffs Inference for Controlled Feature Selection

    Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

    9190-9198

    PDF
  • Online Missing Value Imputation and Change Point Detection with the Gaussian Copula

    Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

    9199-9207

    PDF
  • LaSSL: Label-Guided Self-Training for Semi-supervised Learning

    Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

    9208-9216

    PDF
  • Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms

    Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

    9217-9224

    PDF
  • Adaptive Pairwise Weights for Temporal Credit Assignment

    Zeyu Zheng, Risto Vuorio, Richard Lewis, Satinder Singh

    9225-9232

    PDF
  • Programmatic Reward Design by Example

    Weichao Zhou, Wenchao Li

    9233-9241

    PDF
  • Neural Piecewise-Constant Delay Differential Equations

    Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

    9242-9250

    PDF
  • Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification

    Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha

    9251-9259

    PDF
  • Invariant Action Effect Model for Reinforcement Learning

    Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang

    9260-9268

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  • Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations

    Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

    9269-9277

    PDF
  • Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning

    Roy Zohar, Shie Mannor, Guy Tennenholtz

    9278-9285

    PDF
  • Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems

    Wenkang Zhan, Gang Wu, Hongchang Gao

    9006-9013

    PDF
  • MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning

    Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

    9014-9021

    PDF
  • State Deviation Correction for Offline Reinforcement Learning

    Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji

    9022-9030

    PDF
  • Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic

    Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel

    9031-9039

    PDF
  • Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach

    Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu

    9040-9047

    PDF
  • Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables

    Lifeng Zhang, Shimo Yang, Hongxun Jiang

    9048-9056

    PDF
  • Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models

    Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

    9057-9065

    PDF
  • Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings

    Matthew S. Zhang, Murat A Erdogdu, Animesh Garg

    9066-9073

    PDF
  • Gaussian Process Bandits with Aggregated Feedback

    Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong

    9074-9081

    PDF
  • Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime

    Rui Zhang, Shihua Zhang

    9082-9090

    PDF
  • A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

    Sai Qian Zhang, Jieyu Lin, Qi Zhang

    9091-9099

    PDF
  • Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition

    Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

    9100-9108

    PDF
  • Fusion Multiple Kernel K-means

    Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

    9109-9117

    PDF
  • Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning

    Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying

    9118-9126

    PDF
  • ProtGNN: Towards Self-Explaining Graph Neural Networks

    Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

    9127-9135

    PDF
  • Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum

    Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

    9136-9144

    PDF
  • Robust Action Gap Increasing with Clipped Advantage Learning

    Zhe Zhang, Yaozhong Gan, Xiaoyang Tan

    9145-9152

    PDF
  • Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles

    Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang

    9153-9161

    PDF
  • CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets

    Bingyin Zhao, Yingjie Lao

    9162-9170

    PDF
  • FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates

    Bo Zhao, Peng Sun, Tao Wang, Keyu Jiang

    9171-9179

    PDF
  • Graph Pointer Neural Networks

    Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

    8832-8839

    PDF
  • LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning

    Yuan Yang, James C Kerce, Faramarz Fekri

    8840-8848

    PDF
  • Exploiting Invariance in Training Deep Neural Networks

    Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

    8849-8856

    PDF
  • Lifelong Generative Modelling Using Dynamic Expansion Graph Model

    Fei Ye, Adrian G. Bors

    8857-8865

    PDF
  • Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation

    Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

    8866-8873

    PDF
  • BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition

    Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan

    8874-8882

    PDF
  • Distributed Randomized Sketching Kernel Learning

    Rong Yin, Yong Liu, Dan Meng

    8883-8891

    PDF
  • AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

    Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

    8892-8900

    PDF
  • BM-NAS: Bilevel Multimodal Neural Architecture Search

    Yihang Yin, Siyu Huang, Xiang Zhang

    8901-8909

    PDF
  • Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets

    Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin

    8910-8918

    PDF
  • Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units

    Kenny Young

    8919-8926

    PDF
  • SAIL: Self-Augmented Graph Contrastive Learning

    Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

    8927-8935

    PDF
  • Natural Black-Box Adversarial Examples against Deep Reinforcement Learning

    Mengran Yu, Shiliang Sun

    8936-8944

    PDF
  • Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms

    Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

    8945-8953

    PDF
  • Low-Pass Graph Convolutional Network for Recommendation

    Wenhui Yu, Zixin Zhang, Zheng Qin

    8954-8961

    PDF
  • MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation

    Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin

    8962-8970

    PDF
  • Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

    Jinyang Yuan, Bin Li, Xiangyang Xue

    8971-8979

    PDF
  • TS2Vec: Towards Universal Representation of Time Series

    Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

    8980-8987

    PDF
  • Fractional Adaptive Linear Units

    Julio Zamora, Anthony D. Rhodes, Lama Nachman

    8988-8996

    PDF
  • SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning

    Hongyu Zang, Xin Li, Mingzhong Wang

    8997-9005

    PDF
  • Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments

    Honguk Woo, Gwangpyo Yoo, Minjong Yoo

    8657-8665

    PDF
  • An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation

    Honguk Woo, Hyunsung Lee, Sangwoo Cho

    8666-8674

    PDF
  • PUMA: Performance Unchanged Model Augmentation for Training Data Removal

    Ga Wu, Masoud Hashemi, Christopher Srinivasa

    8675-8682

    PDF
  • Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation

    Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

    8683-8690

    PDF
  • AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method

    Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel Ward

    8691-8699

    PDF
  • Towards Off-Policy Learning for Ranking Policies with Logged Feedback

    Teng Xiao, Suhang Wang

    8700-8707

    PDF
  • Active Learning for Domain Adaptation: An Energy-Based Approach

    Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang

    8708-8716

    PDF
  • GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

    Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

    8717-8725

    PDF
  • Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits

    Guojun Xiong, Jian Li, Rahul Singh

    8726-8734

    PDF
  • Coordinating Momenta for Cross-Silo Federated Learning

    An Xu, Heng Huang

    8735-8743

    PDF
  • Learning-Augmented Algorithms for Online Steiner Tree

    Chenyang Xu, Benjamin Moseley

    8744-8752

    PDF
  • Constraints Penalized Q-learning for Safe Offline Reinforcement Learning

    Haoran Xu, Xianyuan Zhan, Xiangyu Zhu

    8753-8760

    PDF
  • Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity

    Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

    8761-8769

    PDF
  • Linearity-Aware Subspace Clustering

    Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian

    8770-8778

    PDF
  • Go Wider Instead of Deeper

    Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You

    8779-8787

    PDF
  • Seizing Critical Learning Periods in Federated Learning

    Gang Yan, Hao Wang, Jian Li

    8788-8796

    PDF
  • Learning to Identify Top Elo Ratings: A Dueling Bandits Approach

    Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

    8797-8805

    PDF
  • Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning

    Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

    8806-8813

    PDF
  • Training a Resilient Q-network against Observational Interference

    Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen

    8814-8822

    PDF
  • Policy Optimization with Stochastic Mirror Descent

    Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan

    8823-8831

    PDF
  • SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation

    Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

    8476-8484

    PDF
  • SplitFed: When Federated Learning Meets Split Learning

    Chandra Thapa, Pathum Chamikara Mahawaga Arachchige, Seyit Camtepe, Lichao Sun

    8485-8493

    PDF
  • Listwise Learning to Rank Based on Approximate Rank Indicators

    Thibaut Thonet, Yagmur Gizem Cinar, Eric Gaussier, Minghan Li, Jean-Michel Renders

    8494-8502

    PDF
  • PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval

    Praneeth Vepakomma, Julia Balla, Ramesh Raskar

    8503-8511

    PDF
  • Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models

    Sahil Verma, Keegan Hines, John P. Dickerson

    8512-8519

    PDF
  • Robust Optimal Classification Trees against Adversarial Examples

    Daniël Vos, Sicco Verwer

    8520-8528

    PDF
  • Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs

    Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein

    8529-8538

    PDF
  • Context Uncertainty in Contextual Bandits with Applications to Recommender Systems

    Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

    8539-8547

    PDF
  • Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

    Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

    8548-8556

    PDF
  • Learngene: From Open-World to Your Learning Task

    Qiu-Feng Wang, Xin Geng, Shu-Xia Lin, Shi-Yu Xia, Lei Qi, Ning Xu

    8557-8565

    PDF
  • Boosting Active Learning via Improving Test Performance

    Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

    8566-8574

    PDF
  • Efficient Algorithms for General Isotone Optimization

    Xiwen Wang, Jiaxi Ying, José Vinícius de M. Cardoso, Daniel P. Palomar

    8575-8583

    PDF
  • Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets

    Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

    8584-8593

    PDF
  • Continual Learning through Retrieval and Imagination

    Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao

    8594-8602

    PDF
  • Max-Min Grouped Bandits

    Zhenlin Wang, Jonathan Scarlett

    8603-8611

    PDF
  • Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

    Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

    8612-8620

    PDF
  • Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation

    Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yyuze Li

    8621-8628

    PDF
  • Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics

    Sean Welleck, Peter West, Jize Cao, Yejin Choi

    8629-8637

    PDF
  • Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks

    Tim Whitaker, Darrell Whitley

    8638-8646

    PDF
  • PluGeN: Multi-Label Conditional Generation from Pre-trained Models

    Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab, Marek Smieja

    8647-8656

    PDF
  • With False Friends Like These, Who Can Notice Mistakes?

    Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

    8458-8466

    PDF
  • Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

    Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

    8467-8475

    PDF
  • Estimation of Local Average Treatment Effect by Data Combination

    Kazuhiko Shinoda, Takahiro Hoshino

    8295-8303

    PDF
  • Constraint-Driven Explanations for Black-Box ML Models

    Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S Meel, Joao Marques-Silva, Moshe Y. Vardi

    8304-8314

    PDF
  • Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels

    Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

    8315-8323

    PDF
  • QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers

    Daniel Silver, Tirthak Patel, Devesh Tiwari

    8324-8332

    PDF
  • EqGNN: Equalized Node Opportunity in Graphs

    Uriel Singer, Kira Radinsky

    8333-8341

    PDF
  • ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

    Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr

    8342-8350

    PDF
  • Feature Importance Explanations for Temporal Black-Box Models

    Akshay Sood, Mark Craven

    8351-8360

    PDF
  • Reward-Weighted Regression Converges to a Global Optimum

    Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

    8361-8369

    PDF
  • Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification

    Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

    8370-8377

    PDF
  • Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

    Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

    8378-8385

    PDF
  • Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes

    Yi-Xuan Sun, Wei Wang

    8386-8394

    PDF
  • Generalized Equivariance and Preferential Labeling for GNN Node Classification

    Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

    8395-8403

    PDF
  • Explainable and Local Correction of Classification Models Using Decision Trees

    Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

    8404-8413

    PDF
  • Consistency Regularization for Adversarial Robustness

    Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

    8414-8422

    PDF
  • Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability

    Aviv Tamar, Daniel Soudry, Ev Zisselman

    8423-8431

    PDF
  • FedProto: Federated Prototype Learning across Heterogeneous Clients

    Yue Tan, Guodong Long, LU LIU, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

    8432-8440

    PDF
  • What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator

    Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

    8441-8449

    PDF
  • Optimal Sampling Gaps for Adaptive Submodular Maximization

    Shaojie Tang, Jing Yuan

    8450-8457

    PDF
  • Scaling Up Influence Functions

    Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

    8179-8186

    PDF
  • Chaining Value Functions for Off-Policy Learning

    Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

    8187-8195

    PDF
  • Graph Filtration Kernels

    Till Schulz, Pascal Welke, Stefan Wrobel

    8196-8203

    PDF
  • Neural Networks Classify through the Class-Wise Means of Their Representations

    Mohamed El Amine Seddik, Mohamed Tamaazousti

    8204-8211

    PDF
  • Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

    Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander Gray

    8212-8219

    PDF
  • Max-Margin Contrastive Learning

    Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian

    8220-8230

    PDF
  • Learning to Transfer with von Neumann Conditional Divergence

    Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

    8231-8239

    PDF
  • Online Apprenticeship Learning

    Lior Shani, Tom Zahavy, Shie Mannor

    8240-8248

    PDF
  • HoD-Net: High-Order Differentiable Deep Neural Networks and Applications

    Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

    8249-8258

    PDF
  • Conditional Generative Model Based Predicate-Aware Query Approximation

    Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup Rao, Vikas Maddukuri

    8259-8266

    PDF
  • Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations

    Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

    8267-8276

    PDF
  • Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds

    Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang

    8277-8285

    PDF
  • TRF: Learning Kernels with Tuned Random Features

    Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Venkatesh, Svetha Venkatesh

    8286-8294

    PDF

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