Papers
Cross-Modal Learning with Adversarial Samples
CHAO LI, Shangqian Gao, Cheng Deng et al.
Cross-sectional Learning of Extremal Dependence among Financial Assets
Xing Yan, Qi Wu, Wen Zhang
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas et al.
Curriculum-guided Hindsight Experience Replay
Meng Fang, Tianyi Zhou, Yali Du et al.
Curvilinear Distance Metric Learning
Shuo Chen, Lei Luo, Jian Yang et al.
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab, Walter Karlen
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang, Shimon Whiteson
Dancing to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu et al.
Data Cleansing for Models Trained with SGD
Satoshi Hara, Atsushi Nitanda, Takanori Maehara
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis
Yuki Yoshida, Masato Okada
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
Colin Wei, Tengyu Ma
DATA: Differentiable ArchiTecture Approximation
Jianlong Chang, xinbang zhang, Yiwen Guo et al.
Data-driven Estimation of Sinusoid Frequencies
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
Debiased Bayesian inference for average treatment effects
Kolyan Ray, Botond Szabo
Decentralized Cooperative Stochastic Bandits
David Martínez-Rubio, Varun Kanade, Patrick Rebeschini
Decentralized sketching of low rank matrices
Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge et al.
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou, Janice Lan, Rosanne Liu et al.
Deep Active Learning with a Neural Architecture Search
Yonatan Geifman, Ran El-Yaniv
Deep Equilibrium Models
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
Deep Gamblers: Learning to Abstain with Portfolio Theory
Ziyin Liu, Zhikang Wang, Paul Pu Liang et al.
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Deep Generative Video Compression
Salvator Lombardo, JUN HAN, Christopher Schroers et al.
Deep Leakage from Gradients
Ligeng Zhu, Zhijian Liu, Song Han