Deep Learning

Going Beyond T-SNE: Exposing whatlies in Text Embeddings EMNLP 2020 Going Deeper With Lean Point Networks CVPR 2020 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Going Much Wider with Deep Networks for Image Super-Resolution WACV 2020 Goku’s Participation in WAT 2020 AACL 2020 Good-Enough Compositional Data Augmentation ACL 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020 GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020 GPS-Net: Graph-based Photometric Stereo Network NeurIPS 2020 GPS-Net: Graph Property Sensing Network for Scene Graph Generation CVPR 2020 GPT-too: A Language-Model-First Approach for AMR-to-Text Generation ACL 2020 GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020 GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis EMNLP 2020 Gradient ℓ_1 Regularization for Quantization Robustness ICLR 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 Gradient-Based Neural DAG Learning ICLR 2020 Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Gradually Vanishing Bridge for Adversarial Domain Adaptation CVPR 2020 Graduate Employment Prediction with Bias AAAI 2020 GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NeurIPS 2020 GraLSP: Graph Neural Networks with Local Structural Patterns AAAI 2020 GramGAN: Deep 3D Texture Synthesis From 2D Exemplars NeurIPS 2020