Papers
11,015 papers found
Deep Layers as Stochastic Solvers
Adel Bibi, Bernard Ghanem, Vladlen Koltun et al.
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
Min Liu, Fupin Yao, Chiho Choi et al.
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Perez, Chico Q. Camargo, Ard A. Louis
DeepOBS: A Deep Learning Optimizer Benchmark Suite
Frank Schneider, Lukas Balles, Philipp Hennig
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
Deep reinforcement learning with relational inductive biases
Vinicius Zambaldi, David Raposo, Adam Santoro et al.
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin, Chuang Gan, Song Han
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Xingjian Li, Haoyi Xiong, Hanchao Wang et al.
Detecting Egregious Responses in Neural Sequence-to-sequence Models
Tianxing He, James Glass
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan, Zico Kolter
Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu, Sebastian Nowozin, Edward Meeds et al.
DHER: Hindsight Experience Replay for Dynamic Goals
Meng Fang, Cheng Zhou, Bei Shi et al.
Diagnosing and Enhancing VAE Models
Bin Dai, David Wipf
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha et al.
Differentiable Learning-to-Normalize via Switchable Normalization
Ping Luo, Jiamin Ren, Zhanglin Peng et al.
Diffusion Scattering Transforms on Graphs
Fernando Gama, Alejandro Ribeiro, Joan Bruna
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
Marc T Law, Jake Snell, Amir-massoud Farahmand et al.
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Mohit Sharma, Arjun Sharma, Nicholas Rhinehart et al.
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee et al.
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi et al.
Discriminator Rejection Sampling
Samaneh Azadi, Catherine Olsson, Trevor Darrell et al.
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu et al.
DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
Shoichiro Yamaguchi, Masanori Koyama