Papers
11,951 papers found
Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit 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.
Cross-Linguistic Perception of the Japanese Singleton/Geminate Contrast: Korean, Mandarin and Mongolian Compared
Kimiko Tsukada, Yurong, Joo-Yeon Kim 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
Debugging Transient Faults in Data Centers using Synchronized Network-wide Packet Histories
Pravein Govindan Kannan, Nishant Budhdev, Raj Joshi et al.
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel, Trent Kyono, Jeroen Berrevoets et al.
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