Papers
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.
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Guangyu Shen, Yingqi Liu, Guanhong Tao et al.
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev et al.
Constraint-based graph network simulator
Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff et al.
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Sugandha Sharma, Sarthak Chandra, Ila Fiete
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
Kaizhi Qian, Yang Zhang, Heting Gao et al.
Context-Aware Drift Detection
Oliver Cobb, Arnaud Van Looveren
Contextual Bandits with Large Action Spaces: Made Practical
Yinglun Zhu, Dylan J Foster, John Langford et al.
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
Yinglun Zhu, Paul Mineiro
Contextual Information-Directed Sampling
Botao Hao, Tor Lattimore, Chao Qin
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng et al.