- Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution ICCV'19
- ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network CVPR'19
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR'19
- Meta-Learning With Differentiable Convex Optimization CVPR'19
- Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR'19
- Task Agnostic Meta-Learning for Few-Shot Learning CVPR'19
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation ICLR'2020
- SROBB: Targeted Perceptual Loss for Single Image Super-Resolution ICCV'19
- Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model ICCV'19
- Two-Stream Action Recognition-Oriented Video Super-Resolution ICCV'19
- AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism ICCV'19
- Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning ICCV'19
- Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition ICCV'19
- Graph Convolutional Networks for Temporal Action Localization ICCV'19
- Knowledge Adaptation for Efficient Semantic Segmentation CVPR'19
- ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR'19
- Structured Knowledge Distillation for Semantic Segmentation CVPR'19
- Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation CVPR'19
- Bidirectional Learning for Domain Adaptation of Semantic Segmentation CVPR'19
- Adaptive Pyramid Context Network for Semantic Segmentation CVPR'19
- BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation arxiv
- Photorealistic Style Transfer via Wavelet Transforms ICCV'19
- Content and Style Disentanglement for Artistic Style Transfer ICCV'19
- Controllable Artistic Text Style Transfer via Shape-Matching GAN ICCV'19
- Twin Auxilary Classifiers GAN NIPS'19
- Multi-marginal Wasserstein GAN NIPS'19
- PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph NIPS'19
- Progressive Augmentation of GANs NIPS'19
- FlowNet3D: Learning Scene Flow in 3D Point Clouds CVPR'19
- 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR'19
- Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NIPS'19
- Gaussian-Based Pooling for Convolutional Neural Networks NIPS'19
- Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NIPS'19
- Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR'19
- Kernel Transformer Networks for Compact Spherical Convolution CVPR'19
- Pixel-Adaptive Convolutional Neural Networks CVPR'19
- A Robust Abstractive System for Cross-Lingual Summarization NAACL'19
- A Simple Joint Model for Improved Contextual Neural Lemmatization NAACL'19
- A Structural Probe for Finding Syntax in Word Representations NAACL'19
- Abusive Language Detection with Graph Convolutional Networks NAACL'19
- Never Give Up: Learning Directed Exploration Strategies ICLR 2020
- Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020
- Recurrent Experience Replay in Distributed Reinforcement Learning ICLR 2019
- Information-Directed Exploration for Deep Reinforcement Learning ICLR 2019
- Addressing Function Approximation Error in Actor-Critic Methods ICML 2018
- Distributed Distributional Deterministic Policy Gradients ICML 2018
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
- Population Based Training of Neural Networks 2017