Papers
Densely connected normalizing flows
Matej Grcić, Ivan Grubišić, Siniša Šegvić
Dense Unsupervised Learning for Video Segmentation
Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen, Markus Heinonen, Samuel Kaski
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang, Xiangyuan Zhang, Bin Hu et al.
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan et al.
Design of Experiments for Stochastic Contextual Linear Bandits
Andrea Zanette, Kefan Dong, Jonathan N Lee et al.
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li, Alex Boyd, Padhraic Smyth et al.
Detecting Anomalous Event Sequences with Temporal Point Processes
Oleksandr Shchur, Ali Caner Turkmen, Tim Januschowski et al.
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen, Frederick Liu, Besim Avci et al.
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Reid McIlroy-Young, Yu Wang, Siddhartha Sen et al.
Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei, Tamara L Berg, Mohit Bansal
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet, Subhroshekhar Ghosh, Meixia LIN
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen, Joey Litalien, Jun Gao et al.
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf et al.
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang, Kyle Hsu, Jianing Li et al.
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
Shinsaku Sakaue, Kengo Nakamura
Differentiable Learning Under Triage
Nastaran Okati, Abir De, Manuel Rodriguez
Differentiable Multiple Shooting Layers
Stefano Massaroli, Michael Poli, Sho Sonoda et al.
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
Zihang Meng, Lopamudra Mukherjee, Yichao Wu et al.
Differentiable Quality Diversity
Matthew Fontaine, Stefanos Nikolaidis
Differentiable rendering with perturbed optimizers
Quentin Le Lidec, Ivan Laptev, Cordelia Schmid et al.
Differentiable Simulation of Soft Multi-body Systems
Yiling Qiao, Junbang Liang, Vladlen Koltun et al.
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li, Yufei Guo, Shanghang Zhang et al.
Differentiable Spline Approximations
Minsu Cho, Aditya Balu, Ameya Joshi et al.
Differentiable Synthesis of Program Architectures
Guofeng Cui, He Zhu