DMKM: Graph Mining, Social Network Analysis & Community
Thursday, February 9, 2:00-3:15pm
4627 Cross-domain Few-shot Graph Classification with a
Reinforced Task Coordinator
Zhang, Qiannan*; Pei, Shichao; Yang, Qiang; Zhang, Chuxu; Chawla, Nitesh; Zhang,
Xiangliang
DMKM: Recommender Systems
Thursday, February 9, 2:00-3:15pm
3872 Practical Cross-system Shilling Attacks with Limited Access to
Data
Zeng, Meifang; Li, Ke; Jiang, Bingchuan; Cao, Liujuan; Li, Hui*
1252 Untargeted Attack against Federated Recommendation
Systems via Poisonous Item Embeddings and the Defense
Yu, Yang; Liu, Qi*; Wu, Likang; Yu, Runlong; Yu, Sanshi Lei; ZHANG, ZAIXI
2183 PPGenCDR: A Stable and Robust Framework for Privacy-
Preserving Cross-domain Recommendation
Liao, Xinting*; Liu, Weiming; Zheng, Xiaolin; yao, binhui; Chen, Chaochao
GTEP: Social Choice / Voting
Thursday, February 9, 2:00-3:15pm
2394 Participatory Budgeting Designs for the Real World
Fairstein, Roy*; Benade, Gerdus; Gal, Kobi
1280 Representation with Incomplete Votes
Halpern, Daniel; Kehne, Gregory; Procaccia, Ariel; Tucker-Foltz, Jamie; Wuthrich,
Manuel*
10453 Rank Aggregation Using Scoring Rules
Boehmer, Niclas*; Bredereck, Robert; Peters, Dominik
9607 Semi-Random Impossibilities of Condorcet Criterion
Xia, Lirong*
HAI: Crowdsourcing
Thursday, February 9, 2:00-3:15pm
7721 Incentive-boosted Federated Crowdsourcing
Kang, Xiangping; Yu, Guoxian*; Wang, Jun; Guo, Wei; Domeniconi, Carlotta; Zhang,
Jinglin
HAI: Human-in-the-Loop Machine Learning
Thursday, February 9, 2:00-3:15pm
2493 Beam Search Optimized Batch Bayesian Active Learning
Sun, Jingyu*; ZHAI, Hongjie; Saisho, Osamu; Takeuchi, Susumu
HAI: Learning Human Values and Preferences
Thursday, February 9, 2:00-3:15pm
3545 The Perils of Trial-and-Error Reward Design: Misdesign
through Overfitting and Invalid Task Specifications
Booth, Serena L*; Knox, W. Bradley; Shah, Julie A.; Niekum, Scott; Stone, Peter;
Allievi, Alessandro
ROB: Learning & Optimization for ROB
Thursday, February 9, 2:00-3:15pm
7696 Co-Imitation: Learning Design and Behaviour by Imitation
Rajani, Chang*; Arndt, Karol; Blanco-Mulero, David; Luck, Kevin Sebastian; Kyrki,
Ville
ML: Auto ML and Hyperparameter Tuning
Thursday, February 9, 2:00-3:15pm
3078 Mixed-Variable Black-Box Optimisation Using Value Proposal
Trees
Zuo, Yan*; Nguyen, Vu; Dezfouli, Amir; Alexander, David; Muir, Ben W; Chades,
Iadine
ML: Bayesian Learning
Thursday, February 9, 2:00-3:15pm
6059 Non-reversible Parallel Tempering for Deep Posterior
Approximation
Deng, Wei*; Zhang, Qian; Feng, Qi; Liang, Faming; Lin, Guang
ML: Imitation Learning & Inverse Reinforcement Learning
Thursday, February 9, 2:00-3:15pm
8058 Tight Performance Guarantees of Imitator Policies with
Continuous Actions
Maran, Davide*; Metelli, Alberto Maria; Restelli, Marcello
ML: Learning Theory
Thursday, February 9, 2:00-3:15pm
1182 On the Stability and Generalization of Triplet Learning
Chen, Jun; Chen, Hong*; JIANG, XUE; Gu, Bin; Li, Weifu; Gong, Tieliang; Zheng, Feng
CSO: Satisfiability
Thursday, February 9, 2:00-3:15pm
8423 Probabilistic Generalization of Backdoor Trees with
Application to SAT
Semenov, Alexander; Chivilikhin, Daniil*; Kochemazov, Stepan; Dzhiblavi, Ibragim
CSO: Solvers and Tools
Thursday, February 9, 2:00-3:15pm
6123 Lifting (D)QBF Preprocessing and Solving Techniques to
(D)SSAT
Cheng, Che; Jiang, Jie-Hong R*
ML: Classification and Regression
Thursday, February 9, 2:00-3:15pm
2832 The Influence of Dimensions on the Complexity of
Computing Decision Trees
Kobourov, Stephen; Loffler, Maarten; Montecchiani, Fabrizio; Pilipczuk, Marcin;
Rutter, Ignaz; Seidel, Raimund; Sorge, Manuel*; Wulms, Jules
ML: Optimization
Thursday, February 9, 2:00-3:15pm
8448 Submodular Maximization Under the Intersection of Matroid
and Knapsack Constraints
Gu, Yu-Ran*; Bian, Chao; Qian, Chao
ML: Clustering
Thursday, February 9, 2:00-3:15pm
7625 TC-DWA:Text Clustering with Dual Word-level Augmentation
Cheng, Bo; Li, Ximing*; Chang, Yi
ML: Deep Neural Architectures
Thursday, February 9, 2:00-3:15pm
118 T2G-Former: Organizing Tabular Features into Relation Graphs
Promotes Heterogeneous Feature Interaction
Yan, Jiahuan*; Chen, Jintai; Wu, Yixuan; Chen, Danny Z; Wu, Jian
ML: Distributed Machine Learning & Federated Learning
Thursday, February 9, 2:00-3:15pm
6710 Acceleration of Large Transformer Model Training by
Sensitivity-Based Layer Dropping
Zeng, Yujie*; He, wenlong; Vasyltsov, Ihor; Pang, Jiali; Chen, Lin
剩余42页未读，继续阅读
奈何辰星无可奈
- 粉丝: 518
- 资源: 3
我的内容管理
展开
最新资源
- Vue实现iOS原生Picker组件：详细解析与实现思路
- Arduino蓝牙小车：参数调试与功能控制
- 百度Java面试精华：200页精选资源涵盖核心知识点
- Swift使用CoreData填坑指南：CoreData在Swift 3.0的变化
- 微距离无线充电器创新设计及其实验探索
- MTK Android平台开发全攻略：44步详解流程
- RecyclerView全面解析：替代ListView的新选择
- Android开发：自动适配中英文键盘解决方案
- Android调用WebService接口教程
- Android开发：BitmapUtil图片处理全解析与实例
- Android多线程断点续传实现详解
- PCA算法在人脸识别会议签到系统中的应用
- EventBus 3.0：Android事件总线详解与实战应用
- Android FileUtil：全面解析文件操作实用技巧与实例
- RecyclerView添加头部和尾部实战教程
- Android实现微博滑动固定顶部栏实战与优化
资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！
点击此处反馈
