Papers
Learning Superpoint Graph Cut for 3D Instance Segmentation
Le Hui, Linghua Tang, Yaqi Shen et al.
Learning Symmetric Rules with SATNet
Sangho Lim, Eun-Gyeol Oh, Hongseok Yang
Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu, Takashi Maruyama, Jure Leskovec
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
Henger Li, Xiaolin Sun, Zizhan Zheng
Learning to Branch with Tree MDPs
Lara Scavuzzo, Feng Chen, Didier Chetelat et al.
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
Jin Xu, Xiaojiang Liu, Jianhao Yan et al.
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi
Learning to Configure Computer Networks with Neural Algorithmic Reasoning
Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever et al.
Learning to Constrain Policy Optimization with Virtual Trust Region
Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah et al.
Learning to Discover and Detect Objects
Vladimir Fomenko, Ismail Elezi, Deva Ramanan et al.
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Djordje Miladinovic, Kumar Shridhar, Kushal Jain et al.
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis
Jonathan Laurent, André Platzer
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli, Andrew Li, Pashootan Vaezipoor et al.
Learning to Generate Inversion-Resistant Model Explanations
Hoyong Jeong, Suyoung Lee, Sung Ju Hwang et al.
Learning to Mitigate AI Collusion on Economic Platforms
Gianluca Brero, Eric Mibuari, Nicolas Lepore et al.
Learning to Navigate Wikipedia by Taking Random Walks
Manzil Zaheer, Kenneth Marino, Will Grathwohl et al.
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia et al.
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca, Andrea Cini, Cesare Alippi
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
Dandan Guo, Zhuo Li, meixi zheng et al.
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
Ruijie Wang, Zheng Li, Dachun Sun et al.
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes, Marcos Treviso, Danish Pruthi et al.
Learning to Share in Networked Multi-Agent Reinforcement Learning
Yuxuan Yi, Ge Li, Yaowei Wang et al.
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman et al.
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium
Chris Junchi Li, Dongruo Zhou, Quanquan Gu et al.