Survey Track Accepted Papers

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#SV12
Recent Advances in Concept Drift Adaptation Methods for Deep Learning
Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan, Xinge YOU
#SV16
A Unified View of Relational Deep Learning for Drug Pair Scoring
Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michaël Ughetto, Sebastian Nilsson, Eliseo Papa
#SV17
The Shapley Value in Machine Learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Olivér Kiss, Sebastian Nilsson, Rik Sarkar
#SV18
Recent Advances on Neural Network Pruning at Initialization
Huan Wang, Can Qin, Yue Bai, Yulun Zhang, YUN FU
#SV25
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu, Menghui Zhu, Weinan Zhang
#SV29
Evaluation Methods for Representation Learning: A Survey
Kento Nozawa, Issei Sato
#SV42
Recent Advances and New Frontiers in Spiking Neural Networks
Duzhen Zhang, Shuncheng Jia, Qingyu Wang
#SV43
Deep Learning with Logical Constraints
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
#SV59
Abstraction for Deep Reinforcement Learning
Murray Shanahan, Melanie Mitchell
#SV60
Who Says What to Whom: A Survey of Multi-Party Conversations
Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling
#SV72
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
#SV81
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
#SV86
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang, Song Guo, Junxiao Wang, XIN XIE, Dacheng Tao
#SV109
Towards Verifiable Federated Learning
Yanci Zhang, Han Yu
#SV110
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
#SV111
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
#SV114
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Xiachong Feng, Xiaocheng Feng, Bing Qin
#SV118
Fair Division of Indivisible Goods: A Survey
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
#SV128
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun
#SV137
Problem Compilation for Multi-Agent Path Finding: a Survey
Pavel Surynek
#SV150
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng
#SV154
Vision-and-Language Pre-trained Models: A Survey
Siqu Long, Feiqi Cao, Soyeon Han, Haiqin Yang
#SV156
Neural Re-ranking in Multi-stage Recommender Systems: A Review
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
#SV164
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey
Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin
#SV168
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Shad Md., Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
#SV169
A Survey on Word Meta-Embedding Learning
Danushka Bollegala, James O’ Neill
#SV171
Image-text Retrieval: A Survey on Recent Research and Development
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang
#SV178
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
#SV180
A Survey of Risk-Aware Multi-Armed Bandits
Vincent Y. F. Tan, Prashanth L.A., Krishna Jagannathan
#SV186
Legal Judgment Prediction: A Survey of the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
#SV199
Data Valuation in Machine Learning: “Ingredients”, Strategies, and Open Challenges
Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low
#SV217
Few-Shot Learning on Graphs: A Survey
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
#SV230
Text Transformations in Contrastive Self-Supervised Learning: A Review
Amrita Bhattacharjee, Mansooreh Karami, Huan Liu
#SV231
A Survey of Machine Narrative Reading Comprehension Assessments
Yisi Sang, Xiangyang Mou, Jing Li, Jef Stanton, Mo Yu
#SV232
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
#SV235
A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
#SV237
Survey on Efficient Training of Large Neural Networks
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan Oseledets, Olivier Beaumont
#SV240
Evidential Reasoning and Learning: a Survey
Federico Cerutti, Lance Kaplan, Murat Sensoy