Papers
Common Knowledge of Abstract Groups
Merlin Humml, Lutz Schröder
Communication-Efficient Collaborative Best Arm Identification
Nikolai Karpov, Qin Zhang
Compact Transformer Tracker with Correlative Masked Modeling
Zikai Song, Run Luo, Junqing Yu et al.
Competition, Alignment, and Equilibria in Digital Marketplaces
Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
Yu Hong, Jiahang Li, Jianchuan Feng et al.
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
Xiaopeng Jiang, Cristian Borcea
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
Qingyu Wang, Tielin Zhang, Minglun Han et al.
Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games
Saar Cohen, Noa Agmon
Complexity of Reasoning with Cardinality Minimality Conditions
Nadia Creignou, Frédéric Olive, Johannes Schmidt
Complexity of Safety and coSafety Fragments of Linear Temporal Logic
Alessandro Artale, Luca Geatti, Nicola Gigante et al.
Compositional Prototypical Networks for Few-Shot Classification
Qiang Lyu, Weiqiang Wang
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces
Boya Hou, Sina Sanjari, Nathan Dahlin et al.
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Miao Li, Jianzhong Qi, Jey Han Lau
Compressing Cross-Lingual Multi-Task Models at Qualtrics
Daniel Campos, Daniel Perry, Samir Joshi et al.
Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
Hao Yu, Jianxin Wu
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
Cambridge Yang, Michael Littman, Michael Carbin
Computing Divergences between Discrete Decomposable Models
Loong Kuan Lee, Nico Piatkowski, François Petitjean et al.
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Shaohui Peng, Xing Hu, Rui Zhang et al.
ConceptX: A Framework for Latent Concept Analysis
Firoj Alam, Fahim Dalvi, Nadir Durrani et al.
Concurrent Multi-Label Prediction in Event Streams
Xiao Shou, Tian Gao, Dharmashankar Subramanian et al.
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang, Leilei Sun, Bowen Du et al.
Conditional Syntax Splitting for Non-monotonic Inference Operators
Jesse Heyninck, Gabriele Kern-Isberner, Thomas Meyer et al.
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Conflicting Interactions among Protection Mechanisms for Machine Learning Models
Sebastian Szyller, N. Asokan
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Bin Zhang, Dapeng Li et al.