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conftrace_

latent representation

514 papers

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