Accepted Papers

Research Track

  • A Unified Batch Selection Policy for Active Metric Learning (10)
    Priyadarshini K, Siddhartha Chaudhuri, Vivek Borkar and Subhasis Chaudhuri
    PDF
    Video
  • Subspace Clustering based analysis of Neural Networks (11)
    Uday Singh Saini, Pravallika Devineni and Evangelos E. Papalexakis
    PDF
    Video
  • Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning (14)
    Zhang-Wei Hong, Prabhat Nagarajan and Guilherme Maeda
    PDF
    Video
  • Ensembling Shift Detectors: an Extensive Empirical Evaluation (16)
    Simona Maggio and Léo Dreyfus-Schmidt
    PDF
    Video
  • Deviation-based Marked Temporal Point Process for Marker Prediction (40)
    Maneet Singh, Anand Vir Singh Chauhan, Karamjit Singh, Tanmoy Bhowmik and Shivshankar Reddy
    PDF
    Video
  • Information Interaction Profile of Choice Adoption (45)
    Gaël Poux-Medard, Julien Velcin and Sabine Loudcher
    PDF
    Video
  • Learning to Build High-fidelity and Robust Environment Models (46)
    Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang and Zhenguo Li
    PDF
    Video
  • Off-Policy Differentiable Logic Reinforcement Learning (49)
    Li Zhang, Xin Li, Mingzhong Wang and Andong Tian
    PDF
    Video
  • Adaptive Learning Rate and Momentum for Training Deep Neural Networks (80)
    Zhiyong Hao, Yixuan Jiang, Huihua Yu and Hsiao-Dong Chiang
    PDF
    Video
  • Deep Conditional Transformation Models (83)
    Philipp Baumann, Torsten Hothorn and David Rügamer
    PDF
    Video
  • Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks (88)
    Ting-Wu Chin, Ari Morcos and Diana Marculescu
    PDF
    Video
  • Invertible Manifold Learning for Dimension Reduction (89)
    Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
    PDF
    Video
  • Inter-domain Multi-relational Link Prediction (105)
    Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi and Hisashi Kashima
    PDF
    Video
  • Attack Transferability Characterization for Adversarially Robust Multi-label Classification (129)
    Zhuo Yang, Yufei Han and Xiangliang Zhang
    PDF
    Video
  • GraphSVX: Shapley Value Explanations for Graph Neural Networks (135)
    Alexandre Duval and Fragkiskos Malliaros
    PDF
    Video
  • LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport (142)
    Yanbin Liu, Makoto Yamada, Yao-Hung Tsai, Tam Le, Ruslan Salakhutdinov and Yi Yang
    PDF
    Video
  • Deep Structural Point Process for Learning Temporal Interaction Networks (145)
    Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu and Bin Wang
    PDF
    Video
  • A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization (162)
    Jia Bi and Steve R Gunn
    PDF
    Video
  • Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning (163)
    Muhammad Rizki Maulana and Wee Sun Lee
    PDF
    Video
  • Spatial Contrastive Learning for Few-Shot Classification (164)
    Yassine Ouali, Céline Hudelot and Myriam Tami
    PDF
    Video
  • Very Fast Streaming Submodular Function Maximization (178)
    Sebastian Buschjäger, Philipp Honysz, Lukas Pfahler and Katharina Morik
    PDF
    Video
  • Multi-Agent Imitation Learning with Copulas (179)
    Hongwei Wang, Lantao Yu, Zhangjie Cao and Stefano Ermon
    PDF
    Video
  • CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints (181)
    Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang and Mingwei Xu
    PDF
    Video
  • Disentanglement and Local Directions of Variance (184)
    Alexander Rakowski and Christoph Lippert
    PDF
    Video
  • Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks (191)
    Jun Zhuang and Mohammad Al Hasan
    PDF
    Video
  • Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More (193)
    Xiulong Yang, Hui Ye, Yang Ye, Xiang Li and Shihao Ji
    PDF
    Video
  • Dep-L0: Improving L0-based Network Sparsification via Dependency Modeling (194)
    Yang Li and Shihao Ji
    PDF
    Video
  • Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network (201)
    Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang and Yu Zhang
    PDF
    Video
  • Neural Topic Models for Hierarchical Topic Detection and Visualization (219)
    Dang Pham, Tuan M. V. Le
    PDF
    Video
  • Semi-structured Document Annotation using Entity and Relation Types (227)
    Arpita Kundu, Subhasish Ghosh and Indrajit Bhattacharya
    PDF
    Video
  • Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift (234)
    Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Cèline Hudelot
    PDF
    Video
  • Gaussian Process encoders: VAEs with Reliable Latent-Space Uncertainty (237)
    Judith Bütepage, Lucas Maystre and Mounia Lalmas
    PDF
    Video
  • Which Minimizer Does My Neural Network Converge To? (264)
    Manuel Nonnenmacher, David Reeb and Ingo Steinwart
    PDF
    Video
  • Routine Bandits: Minimizing Regret on Recurring Problems (270)
    Hassan Saber, Léo Saci, Odalric-Ambrym Maillard, Audrey Durand
    PDF
    Video
  • Conservative Online Convex Optimization (271)
    Edoardo Vittori, Martino Bernasconi de Luca, Francesco Trovò and Marcello Restelli
    PDF
    Video
  • Differentiable Feature Selection, a Reparameterization Approach (272)
    Jérémie Dona and Patrick Gallinari
    PDF
    Video
  • Optimal Teaching Curricula with Compositional Simplicity Priors (277)
    Manuel Garcia-Piqueras and Jose Hernandez-Orallo
    PDF
    Video
  • Robustifying Out-of-distribution Detection Using Outlier Mining (282)
    Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang and Somesh Jha
    PDF
    Video
  • Causal Explanation of Convolutional Neural Networks (287)
    Hichem Debbi
    PDF
    Video
  • Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach (291)
    Bingjie He, Shukai Li, Chen Zhang, Baihua Zheng and Fugee Tsung
    PDF
    Video
  • Source Hypothesis Transfer for Zero-Shot Domain Adaptation (301)
    Tomoya Sakai
    PDF
    Video
  • Learning from Noisy Similar and Dissimilar Data (303)
    Soham Dan, Han Bao and Masashi Sugiyama
    PDF
    Video
  • Variance Reduced Stochastic Proximal Algorithm for AUC Maximization (306)
    Soham Dan and Dushyant Sahoo
    PDF
    Video
  • Active Learning in Gaussian Process State Space Model (312)
    Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint and Duy Nguyen-Tuong
    PDF
    Video
  • Robust Selection Stability Estimation in Correlated Spaces (343)
    Victor Hamer and Pierre Dupont
    PDF
    Video
  • Interpretable Counterfactual Explanations Guided by Prototypes (352)
    Arnaud Van Looveren and Janis Klaise
    PDF
    Video
  • Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection (354)
    Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han and Martin Kleinsteuber
    PDF
    Video
  • Reservoir Pattern Sampling in Data Streams (356)
    Arnaud Giacometti and Arnaud Soulet
    PDF
    Video
  • Knowledge Distillation with Distribution Mismatch (366)
    Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan and Svetha Venkatesh
    PDF
    Video
  • Discovering proper neighbors to improve session-based recommendation (369)
    Lin Liu, Li Wang and Tao Lian
    PDF
    Video
  • Reconnaissance for Reinforcement Learning with Safety Constraints (392)
    Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintaro Okada, Masanori Koyama and Prabhat Nagarajan
    PDF
    Video
  • Small-Vote Sample Selection for Label-Noise Learning (399)
    Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu and Hanzi Wangg
    PDF
    Video
  • Multi-View Self-Supervised Heterogeneous Graph Embedding (408)
    Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye and Chuxu Zhang
    PDF
    Video
  • Robust Regression via Model Based Methods (418)
    Armin Moharrer, Khashayar Kamran, Edmund Yeh and Stratis Ioannidis
    PDF
    Video
  • Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation (435)
    Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang and Yangqiu Song
    PDF
    Video
  • VOGUE: Answer Verbalization through Multi-Task Learning (437)
    Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh, Jens Lehmann and Maria Maleshkova
    PDF
    Video
  • The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer (443)
    Maarten Buyl and Tijl De Bieos
    PDF
    Video
  • Gradient-based Label Binning in Multi-label Classification (449)
    Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz and Eyke Hüllermeier
    PDF
    Video
  • Joint Geometric and Topological Analysis of Hierarchical Datasets (453)
    Lior Aloni, Omer Bobrowski and Ronen Talmon
    PDF
    Video
  • Finding High-Value Training Data Subset through Differentiable Convex Programming (460)
    Soumi Das, Arshdeep Singh, Saptarshi Chatterjee, Suparna Bhattacharya and Sourangshu Bhattacharya
    PDF
    Video
  • Consequence-aware Sequential Counterfactual Generation (484)
    Philip Naumann and Eirini Ntoutsi
    PDF
    Video
  • Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound (489)
    Paul Viallard, Pascal Germain, Amaury Habrard and Emilie Morvant
    PDF
    Video
  • Midpoint Regularization: from High Uncertainty Training Labels to Conservative Classification Decisions (492)
    Hongyu Guo
    PDF
    Video
  • Sibling Regression for Generalized Linear Models (501)
    Shiv Shankar and Daniel Sheldon
    PDF
    Video
  • Unifying Domain Adaptation and Domain Generalization for Transfer among Racial Groups across Medical Systems (517)
    Farzaneh Khoshnevisan and Min Chi
    PDF
    Video
  • Continuous-time Markov-switching GARCH Process with Robust State Path Identification and Volatility Estimation (528)
    Yinan Li and Fang Liu
    PDF
    Video
  • Fast Conditional Network Compression Using Bayesian HyperNetworks (529)
    Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan and Svetha Venkatesh
    PDF
    Video
  • FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID Data (539)
    Jian-Hui Duan, Wenzhong Li and Sanglu Lu
    PDF
    Video
  • Black-box Optimizer with Stochastic Implicit Natural Gradient (547)
    Yueming Lyu and Ivor Tsang
    PDF
    Video
  • Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process (579)
    Yugang Ji, Jia Tianrui, Yuan Fang and Chuan Shi
    PDF
  • Model-based offline Policy Optimization with Distribution Correcting Regularization (581)
    Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang and Yong Yu
    PDF
    Video
  • More General and Effective Model Compression via an Additive Combination of Compressions (590)
    Yerlan Idelbayev and Miguel Á. Carreira-Perpiñán
    PDF
    Video
  • NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction (591)
    Zhenyu Zhang, Bowen Yu, Xiaobo Shu and Tingwen Liu
    PDF
    Video
  • Certification of Model Robustness in Active Class Selection (598)
    Mirko Bunse and Katharina Morik
    PDF
    Video
  • Explainable Online Deep Neural Network Selection using Adaptive Saliency Maps for Time Series Forecasting (599)
    Amal Saadallah, Matthias Jakobs and Katharina Morik
    PDF
    Video
  • Reparameterized Sampling for Generative Adversarial Networks (600)
    Yifei Wang, Yisen Wang, Jiansheng Yang and Zhouchen Lin
    PDF
    Video
  • On Generalization of Graph Autoencoders with Adversarial Training (604)
    Tianjin Huang, Vlado Menkovski, Yulong Pei and Mykola Pechenizkiy
    PDF
    Video
  • Disagreement Options: Task Adaptation Through Temporally Extended Actions (607)
    Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets and Steven Latre
    PDF
    Video
  • Hyper-Parameter Optimization for Latent Spaces in Dynamic Recommender Systems (613)
    Bruno Veloso, Luciano Caroprese, Matthias Konig, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos and Joao Gama
    PDF
    Video
  • Iterated Matrix Reordering (618)
    Gauthier Van Vracem and Siegfried Nijssen
    PDF
    Video
  • Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality (624)
    Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet and Nick Lim
    PDF
    Video
  • Inductive Link Prediction with Interactive Structure Learning on Attributed Graph (635)
    Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Yuetian Cao, Borui Ye, Xingyu Zhong, Jun Zhou and Yanming Fang
    PDF
    Video
  • Change Detection in Multivariate Datastreams Controlling False Alarms (636)
    Luca Frittoli, Diego Carrera and Giacomo Boracchi<
    PDF
    Video
  • Semi-Supervised Semantic Visualization for Networked Documents (647)
    Ce Zhang and Hady Lauw
    PDF
    Video
  • Representation Learning on Multi-Layered Heterogeneous Network (648)
    Ce Zhang and Hady Lauw
    PDF
    Video
  • FedPHP: Federated Personalization with Inherited Private Models (654)
    Li Xin-Chun, De-Chuan Zhan, Shao Yunfeng, Bingshuai Li and Shaoming Song
    PDF
    Video
  • Variational Hyper-Encoding Networks (659)
    Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam and Svetha Venkatesh
    PDF
    Video
  • Rumour Detection via Zero-shot Cross-lingual Transfer Learning (661)
    Lin Tian, Xiuzhen Zhang and Jey Han Lau
    PDF
    Video
  • Adaptive Node Embedding Propagation for Semi-Supervised Classification (662)
    Yuya Ogawa, Seiji Maekawa, Yuya Sasaki, Yasuhiro Fujiwara and Makoto Onizuka
    PDF
    Video
  • Explainable Multiple Instance Learning with Instance Selection Randomized Trees (672)
    Tomáš Komárek, Jan Brabec and Petr Somol
    PDF
    Video
  • Follow Your Path: a Progressive Method for Knowledge Distillation(676)
    Wenxian Shi, Yuxuan Song, Bohan Li, Hao Zhou and Lei Li
    PDF
  • The Curious Case of Convex Neural Networks (698)
    Sarath Sivaprasad, Ankur Singh, Naresh Manwani and Vineet Gandhi
    PDF
    Video
  • Bayesian Optimization with a Prior for the Optimum (701)
    Artur Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer and Frank Hutter
    PDF
    Video
  • GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs (702)
    Siddharth Bhatia, Yiwei Wang, Bryan Hooi and Tanmoy Tanmoy Chakraborty
    PDF
    Video
  • Probing Negative Sampling Strategies to Learn Graph Representations via Unsupervised Contrastive Learning (704)
    Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang and Dan Peng
    PDF
    Video
  • Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs (707)
    Shouheng Li, Dongwoo Kim and Qing Wang
    PDF
    Video
  • Adversarial Representation Learning With Closed-Form Solvers (708)
    Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
    PDF
    Video
  • Self-Supervised Multi-Task Representation Learning for Sequential Medical Images (712)
    Nanqing Dong, Michael Kampffmeyer and Irina Voiculescu
    PDF
    Video
  • Learning Unbiased Representations via Rényi Minimization (722)
    Vincent Grari, Sylvain Lamprier and Marcin Detyniecki
    PDF
    Video
  • Privacy Amplification via Iteration for Shuffled and Online PNSGD (729)
    Matteo Sordello, Zhiqi Bu and Jinshuo Dong
    PDF
    Video
  • Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data (742)
    Sunil Aryal and Jonathan Wells
    PDF
    Video
  • Diversity-aware $k$-median: Clustering with fair center representation (746)
    Suhas Thejaswi, Bruno Ordozgoiti and Aristides Gionis
    PDF
    Video
  • Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration (761)
    Xuan Kan, Hejie Cui and Carl Yangi
    PDF
    Video
  • The Bures Metric for Generative Adversarial Networks (789)
    Hannes De Meulemeester, Joachim Schreurs, Michael Fanuel, Bart De Moor and Johan Suykens
    PDF
    Video
  • Learning Weakly Convex Sets in Metric Spaces (825)
    Eike Stadtländer, Tamas Horvath and Stefan Wrobel
    PDF
    Video
  • Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing (828)
    Kan Chen, Zhiqi Bu and Shiyun Xu
    PDF
    Video
  • Label-assisted Memory Autoencoder for Unsupervised Out-of-Distribution Detection (830)
    Shuyi Zhang, Chao Pan, Liyan Song, Xiaoyu Wu, Zheng Hu, Ke Pei, Peter Tino and Xin Yao
    PDF
    Video
  • Rank aggregation for non-stationary data streams (839)
    Ekhine Irurozki, Aritz Pérez, Jesús López and Javier Del Ser
    PDF
    Video
  • Learning disentangled representations with the Wasserstein Autoencoder (840)
    Benoit Gaujac, Ilya Feige and David Barber
    PDF
    Video
  • Graph Fraud Detection based on Accessibility Score Distributions (851)
    Minji Yoon
    PDF
    Video
  • Sparse Information Filter for Fast Gaussian Process Regression (854)
    Lucas Kania, Manuel Schuerch, Dario Azzimonti and Alessio Benavoli
    PDF
    Video
  • Deep Adaptive Multi-intention Inverse Reinforcement Learning (861)
    Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura and Gijs Dubbelman
    PDF
    Video
  • UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning (863)
    Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis and Edouard Duchesnay
    PDF
    Video
  • Approximation algorithms for confidence bands for time series (870)
    Nikolaj Tatti
    PDF
  • Unsupervised Task Clustering for Multi-Task Reinforcement Learning (878)
    Johannes Ackermann, Oliver Richter and Roger Wattenhofer
    PDF
    Video
  • Principled Interpolation in Normalizing Flows (885)
    Samuel G. Fadel, Sebastian Mair, Ricardo Torres and Ulf Brefeld
    PDF
    Video
  • A Mixed Noise and Constraint Based Approach to Causal Inference in Time Series (896)
    Karim Assaad, Emilie Devijver, Eric Gaussier and Ali Aït-Bachir
    PDF
    Video
  • CycleGan through the lens of (Dynamical) Optimal Transport (899)
    Emmanuel de Bézenac, Ibrahim Ayed and Patrick Gallinari
    PDF
    Video
  • Correlation Clustering with Global Weight Bounds (903)
    Domenico Mandaglio, Andrea Tagarelli and Francesco Gullo
    PDF
    Video
  • Deep Model Compression Via Two-Stage Deep Reinforcement Learning (908)
    Huixin Zhan, Wei-Ming Lin and Yongcan Cao
    PDF
    Video
  • TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement (917)
    Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica and Navid Nobani
    PDF
  • Efficient and Less Centralized Federated Learning (932)
    Li Chou, Zichang Liu, Zhuang Wang and Anshumali Shrivastava
    PDF
    Video
  • VeriDL: Integrity Verification of Outsourced Deep Learning Services (935)
    Boxiang Dong, Bo Zhang, Hui (Wendy) Wang
    PDF
    Video
  • MaxVA: Fast Adaptation of Stepsizes by Maximizing Observed Variance of Gradients (936)
    Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu and Tom Goldstein
    PDF
    Video
  • Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits (941)
    Kaushik Roy, Qi Zhang, Manas Gaur and Amit Sheth
    PDF
    Video
  • Quantized Gromov-Wasserstein (949)
    Samir Chowdhury, David Miller and Tom Needham
    PDF
    Video
  • Topological anomaly detection in dynamic multilayer blockchain networks (951)
    Dorcas Ofori-Boateng, Yulia Gel, Murat Kantarcioglu, Cuneyt Akcora and Ignacio Segovia Dominguez
    PDF
    Video
  • Augmenting Open-Domain Event Detection with Synthetic Data from GPT-2 (954)
    Amir Pouran Ben Veyseh, Minh Van Nguyen, Bonan Min and Thien Huu Nguyen
    PDF
    Video
  • Decoupling Sparsity and Smoothness in Dirichlet Belief Networks (958)
    Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li and Scott Sisson
    PDF
    Video
  • Continual Learning with Dual Regularizations (962)
    Xuejun Han and Yuhong Guo
    PDF
    Video
  • Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets (1011)
    Shayan Jawed, Hadi Jomaa, Lars Schmidt-Thieme and Josif Grabocka
    PDF
    Video
  • EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference (1014)
    Sumaiya Tabassum Nimi, Md Adnan Arefeen, Md Yusuf Sarwar Uddin and Yugyung Lee
    PDF
    Video
  • Exploiting History Data for Non-stationary MAB (1017)
    Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi and Marcello Restelli
    PDF
    Video
  • Bayesian crowdsourcing with constraints (1025)
    Panagiotis A. Traganitis, Georgios B. Giannakis
    PDF
    Video
  • Dropout's Dream Land: Generalization from Learned Simulators to Reality (1026)
    Zac Wellmer, James T. Kwok
    PDF
    Video
  • Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation (1031)
    Yingpeng Du, Hongzhi Liu and Zhonghai Wu
    PDF
    Video
  • PATHATTACK: Attacking Shortest Paths in Complex Networks (1035)
    Benjamin Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad and Scott Alfeld
    PDF
    Video
  • High-probability Kernel Alignment Regret Bounds for Online Kernel Selection (1037)
    Shizhong Liao and Junfan Li
    PDF
    Video
  • Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction (1040)
    Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu and Yixiang Mu
    PDF
    Video
  • Streaming Decision Trees for Lifelong Learning (1050)
    Lukasz Korycki and Bartosz Krawczyk
    PDF
    Video
  • Enhancing Summarization with Text Classification via Topic Consistency (1054)
    Jingzhou Liu and Yiming Yang
    PDF
  • Goal Modelling for Deep Reinforcement Learning Agents (1058)
    Jonathan Leung, Zhiqi Shen, Zhiwei Zeng and Chunyan Miao
    PDF
    Video
  • Disparity Between Batches as a Signal for Early Stopping (1075)
    Mahsa Forouzesh and Patrick Thiran
    PDF
    Video
  • Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities (1096)
    Afshin Sadeghi, Diego Collarana, Damien Graux and Jens Lehmann
    PDF
    Video
  • Transformers: "The End of History" for Natural Language Processing? (1104)
    Anton Chernyavskiy, Dmitry Ilvovsky and Preslav Nakov
    PDF
    Video