Papers
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
C-MinHash: Improving Minwise Hashing with Circulant Permutation
Xiaoyun Li, Ping Li
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen, Xuxi Chen, Xiaolong Ma et al.
COAT: Measuring Object Compositionality in Emergent Representations
Sirui Xie, Ari S Morcos, Song-Chun Zhu et al.
Coin Flipping Neural Networks
Yuval Sieradzki, Nitzan Hodos, Gal Yehuda et al.
COLA: Consistent Learning with Opponent-Learning Awareness
Timon Willi, Alistair Hp Letcher, Johannes Treutlein et al.
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Yikang Zhang, Zhuo Chen, Zhao Zhong
Combining Diverse Feature Priors
Saachi Jain, Dimitris Tsipras, Aleksander Madry
Communicating via Markov Decision Processes
Samuel Sokota, Christian A Schroeder De Witt, Maximilian Igl et al.
Communication-Efficient Adaptive Federated Learning
Yujia Wang, Lu Lin, Jinghui Chen
Communication-efficient Distributed Learning for Large Batch Optimization
Rui Liu, Barzan Mozafari
Composing Partial Differential Equations with Physics-Aware Neural Networks
Matthias Karlbauer, Timothy Praditia, Sebastian Otte et al.
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Hidetaka Kamigaito, Katsuhiko Hayashi
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Timothy J Castiglia, Anirban Das, Shiqiang Wang et al.
Conditional GANs with Auxiliary Discriminative Classifier
Liang Hou, Qi Cao, Huawei Shen et al.
Confidence Score for Source-Free Unsupervised Domain Adaptation
Jonghyun Lee, Dahuin Jung, Junho Yim et al.
Conformal Prediction Sets with Limited False Positives
Adam Fisch, Tal Schuster, Tommi Jaakkola et al.
Congested Bandits: Optimal Routing via Short-term Resets
Pranjal Awasthi, Kush Bhatia, Sreenivas Gollapudi et al.
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Kendrick Shen, Robbie M Jones, Ananya Kumar et al.
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
Nelson Vadori, Rahul Savani, Thomas Spooner et al.
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Anish Thilagar, Rafael Frongillo, Jessica J Finocchiaro et al.
Constants Matter: The Performance Gains of Active Learning
Stephen O Mussmann, Sanjoy Dasgupta
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
Theodore P Papalexopoulos, Christian Tjandraatmadja, Ross Anderson et al.
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin, Keane Lucas, Lujo Bauer et al.
Constrained Offline Policy Optimization
Nicholas Polosky, Bruno C. Da Silva, Madalina Fiterau et al.