Papers
11,015 papers found
Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit et al.
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
Jiaqi Ma, Bo Chang, Xuefei Zhang et al.
Correcting experience replay for multi-agent communication
Sanjeevan Ahilan, Peter Dayan
Counterfactual Generative Networks
Axel Sauer, Andreas Geiger
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch, Siddhartha Mishra
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha, Hsiang Hsu, Taebaek Hwang et al.
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu, Han Guo, Meng Li et al.
Creative Sketch Generation
Songwei Ge, Vedanuj Goswami, Larry Zitnick et al.
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
Jun-Tae Lee, Mihir Jain, Hyoungwoo Park et al.
CT-Net: Channel Tensorization Network for Video Classification
Kunchang Li, Xianhang Li, Yali Wang et al.
Cut out the annotator, keep the cutout: better segmentation with weak supervision
Sarah Hooper, Michael Wornow, Ying Hang Seah et al.
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang et al.
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel et al.
Dataset Condensation with Gradient Matching
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick, J Zico Kolter
DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION
Pengcheng He, Xiaodong Liu, Jianfeng Gao et al.
Debiasing Concept-based Explanations with Causal Analysis
Mohammad Taha Bahadori, David Heckerman
Decentralized Attribution of Generative Models
Changhoon Kim, Yi Ren, Yezhou Yang
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet
Deconstructing the Regularization of BatchNorm
Yann Dauphin, Ekin Dogus Cubuk
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma, Xiang Kong, Shanghang Zhang et al.
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli et al.