Papers

450 papers found
Learning Stable Deep Dynamics Models
J. Zico Kolter, Gaurav Manek
2019 NIPS
Defending Against Neural Fake News
Rowan Zellers, Ari Holtzman, Hannah Rashkin et al.
2019 NIPS
Demystifying Black-box Models with Symbolic Metamodels
Ahmed M. Alaa, Mihaela van der Schaar
2019 NIPS
DM2C: Deep Mixed-Modal Clustering
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang et al.
2019 NIPS
Dancing to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu et al.
2019 NIPS
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
2019 NIPS
Dissecting Neural ODEs
Stefano Massaroli, Michael Poli, Jinkyoo Park et al.
2020 NIPS
Telescoping Density-Ratio Estimation
Benjamin Rhodes, Kai Xu, Michael U. Gutmann
2020 NIPS
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin, Haoxian Chen, Krzysztof M Choromanski et al.
2020 NIPS
Debiased Contrastive Learning
Ching-Yao Chuang, Joshua W. Robinson, Yen-Chen Lin et al.
2020 NIPS
On the universality of deep learning
Emmanuel Abbe, Colin Sandon
2020 NIPS
Ranking Policy Decisions
Hadrien Pouget, Hana Chockler, Youcheng Sun et al.
2021 NIPS
Denoising Normalizing Flow
Christian Horvat, Jean-Pascal Pfister
2021 NIPS
Sparse Spiking Gradient Descent
Nicolas Perez-Nieves, Dan Goodman
2021 NIPS
Demystifying and Generalizing BinaryConnect
Tim Dockhorn, Yaoliang Yu, Eyyüb Sari et al.
2021 NIPS
Adaptive Denoising via GainTuning
Sreyas Mohan, Joshua L Vincent, Ramon Manzorro et al.
2021 NIPS
Densely connected normalizing flows
Matej Grcić, Ivan Grubišić, Siniša Šegvić
2021 NIPS
Defining and Characterizing Reward Gaming
Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov et al.
2022 NIPS
Deep Fourier Up-Sampling
man zhou, Hu Yu, Jie Huang et al.
2022 NIPS
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon et al.
2022 NIPS
Dense Interspecies Face Embedding
Sejong Yang, Subin Jeon, Seonghyeon Nam et al.
2022 NIPS
Tools for Verifying Neural Models' Training Data
Dami Choi, Yonadav Shavit, David K. Duvenaud
2023 NIPS
Double Gumbel Q-Learning
David Yu-Tung Hui, Aaron C. Courville, Pierre-Luc Bacon
2023 NIPS
Deep Recurrent Optimal Stopping
Niranjan Damera Venkata, Chiranjib Bhattacharyya
2023 NIPS
Moment Matching Denoising Gibbs Sampling
Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige et al.
2023 NIPS