Architectures

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs ICLR 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Uncertainty Principles of Encoding GANs ICML 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty Sets for Image Classifiers using Conformal Prediction ICLR 2021 Unconditional Scene Graph Generation ICCV 2021 Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems NeurIPS 2021 Understanding and Simplifying Perceptual Distances CVPR 2021 Understanding and Visualizing Generalization in UNets MIDL 2021 Understanding Deformable Alignment in Video Super-Resolution AAAI 2021 Understanding Guided Image Captioning Performance across Domains CoNLL 2021 Understanding Hard Negatives in Noise Contrastive Estimation NAACL 2021 Understanding How Encoder-Decoder Architectures Attend NeurIPS 2021 Understanding Instance-based Interpretability of Variational Auto-Encoders NeurIPS 2021 Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction Interspeech 2021 Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution EMNLP 2021 Understanding Model Robustness to User-generated Noisy Texts EMNLP 2021 Understanding Over-parameterization in Generative Adversarial Networks ICLR 2021 Understanding Patterns of Anorexia Manifestations in Social Media Data with Deep Learning NAACL 2021 Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory JMLR 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 Understanding Structural Vulnerability in Graph Convolutional Networks IJCAI 2021 Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021 UnICORNN: A recurrent model for learning very long time dependencies ICML 2021 UniDoc: Unified Pretraining Framework for Document Understanding NeurIPS 2021