Papers
11,955 papers found
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
Kaifeng Gao, Long Chen, Hanwang Zhang et al.
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek et al.
Compositional Task Representations for Large Language Models
NAN SHAO, Zefan Cai, Hanwei xu et al.
Compressing multidimensional weather and climate data into neural networks
Langwen Huang, Torsten Hoefler
Computational Language Acquisition with Theory of Mind
Andy Liu, Hao Zhu, Emmy Liu et al.
Computing all Optimal Partial Transports
Abhijeet Phatak, Sharath Raghvendra, CHITTARANJAN TRIPATHY et al.
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach
Muhammad Abdullah Naeem
Concept Gradient: Concept-based Interpretation Without Linear Assumption
Andrew Bai, Chih-Kuan Yeh, Neil Y.C. Lin et al.
Concept-level Debugging of Part-Prototype Networks
Andrea Bontempelli, Stefano Teso, Katya Tentori et al.
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong, Wenbing Huang, Yang Liu
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian, Bo Zhang et al.
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um, Jiwoong Park, Seulki Park et al.
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Joey Hong, Aviral Kumar, Sergey Levine
Confidence Estimation Using Unlabeled Data
Chen Li, Xiaoling Hu, Chao Chen
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese et al.
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb et al.
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks
Simge Kucukyavuz, Ali Shojaie, Hasan Manzour et al.
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
Tianxiang Hao, Hui Chen, Yuchen Guo et al.
Constraining Representations Yields Models That Know What They Don't Know
Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel et al.
Constructive TT-representation of the tensors given as index interaction functions with applications
Gleb Ryzhakov, Ivan Oseledets
Context-enriched molecule representations improve few-shot drug discovery
Johannes Schimunek, Philipp Seidl, Lukas Friedrich et al.
Contextual bandits with concave rewards, and an application to fair ranking
Virginie Do, Elvis Dohmatob, Matteo Pirotta et al.
Contextual Convolutional Networks
Shuxian Liang, Xu Shen, Tongliang Liu et al.
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
Shaofeng Zhang, Feng Zhu, Rui Zhao et al.
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange, Gido M van de Ven, Tinne Tuytelaars