Deep Learning

Variational Inference for Learning Representations of Natural Language Edits AAAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021 Variational inference with continuously-indexed normalizing flows UAI 2021 Variational Information Bottleneck Based Regularization for Speaker Recognition Interspeech 2021 Variational Information Bottleneck for Effective Low-Resource Audio Classification Interspeech 2021 Variational Information Bottleneck for Effective Low-Resource Fine-Tuning ICLR 2021 Variational Model Inversion Attacks NeurIPS 2021 Variational Pedestrian Detection CVPR 2021 Variational Prototype Inference for Few-Shot Semantic Segmentation WACV 2021 Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021 Variational Relational Point Completion Network CVPR 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021 Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF ICLR 2021 Variational Transformer Networks for Layout Generation CVPR 2021 Variation and generality in encoding of syntactic anomaly information in sentence embeddings EMNLP 2021 VariTex: Variational Neural Face Textures ICCV 2021 VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text NeurIPS 2021 VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ACL 2021 VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments ICLR 2021 V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal ICCV 2021 VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts CVPR 2021 VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation ACL 2021 Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting CVPR 2021 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021 Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms ICLR 2021