Papers
Combating Bilateral Edge Noise for Robust Link Prediction
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu et al.
Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou, Jiangchao Yao, Feng Hong et al.
Combinatorial Group Testing with Selfish Agents
Georgios Chionas, Dariusz Kowalski, Piotr Krysta
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Felix Chalumeau, Shikha Surana, Clément Bonnet et al.
Combining Behaviors with the Successor Features Keyboard
Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos et al.
Common Ground in Cooperative Communication
Xiaoran Hao, Yash Jhaveri, Patrick Shafto
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu et al.
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
Junyi Li, Feihu Huang, Heng Huang
Compact Neural Volumetric Video Representations with Dynamic Codebooks
Haoyu Guo, Sida Peng, Yunzhi Yan et al.
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue et al.
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
Duligur Ibeling, Thomas Icard
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg, Amrith Setlur, Zachary Lipton et al.
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang et al.
Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
Xingang Guo, Darioush Keivan, Geir Dullerud et al.
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Jiaxin Bai, Xin Liu, Weiqi Wang et al.
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang et al.
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
Composing Parameter-Efficient Modules with Arithmetic Operation
Jinghan Zhang, shiqi chen, Junteng Liu et al.
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Maya Okawa, Ekdeep S Lubana, Robert Dick et al.
Compositional Foundation Models for Hierarchical Planning
Anurag Ajay, Seungwook Han, Yilun Du et al.
Compositional Generalization from First Principles
Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge et al.
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Đorđe Žikelić, Mathias Lechner, Abhinav Verma et al.
Compositional Sculpting of Iterative Generative Processes
Timur Garipov, Sebastiaan De Peuter, Ge Yang et al.
Compressed Video Prompt Tuning
Bing Li, Jiaxin Chen, Xiuguo Bao et al.
Compression with Bayesian Implicit Neural Representations
Zongyu Guo, Gergely Flamich, Jiajun He et al.