Co-occurring keywords · papers mentioning both
Papers
Learning Invariant Representations for Reinforcement Learning without Reconstruction
ICLR 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
AAAI 2021
Multiresolution Deep Implicit Functions for 3D Shape Representation
ICCV 2021
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
ICML 2021
On Disentangled Representations Learned from Correlated Data
ICML 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation
ICCV 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
ICLR 2021
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
ICLR 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NeurIPS 2021
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
NeurIPS 2021
Shapley Explanation Networks
ICLR 2021
Soft then Hard: Rethinking the Quantization in Neural Image Compression
ICML 2021
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar
ICCV 2021
Symmetric Wasserstein autoencoders
UAI 2021
Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations
ACL 2021
Towards Better Robust Generalization with Shift Consistency Regularization
ICML 2021
Towards Label-Agnostic Emotion Embeddings
EMNLP 2021
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning
ICLR 2021
Unsupervised Disentanglement of Linear-Encoded Facial Semantics
CVPR 2021
Unsupervised Learning of Visual 3D Keypoints for Control
ICML 2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
ACL 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
AISTATS 2021