neural network

Interpreting Predictions of NLP Models EMNLP 2020 Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NeurIPS 2020 Intra-Processing Methods for Debiasing Neural Networks NeurIPS 2020 Introducing Routing Uncertainty in Capsule Networks NeurIPS 2020 Invariant Representations through Adversarial Forgetting AAAI 2020 Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020 Investigation of NICT Submission for Short-Duration Speaker Verification Challenge 2020 Interspeech 2020 Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020 Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CoRL 2020 It’s Not What Machines Can Learn, It’s What We Cannot Teach ICML 2020 Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation AAAI 2020 Joint Demosaicing and Denoising With Self Guidance CVPR 2020 Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization ACL 2020 Justification-Based Reliability in Machine Learning AAAI 2020 Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps ICLR 2020 KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation ACL 2020 KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations EMNLP 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Keyphrase Generation for Scientific Articles Using GANs (Student Abstract) AAAI 2020 Keyphrase Generation with GANs in Low-Resources Scenarios EMNLP 2020 Knowledge-Based Regularization in Generative Modeling IJCAI 2020 Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation ACL 2020 Knowledge Graph Transfer Network for Few-Shot Recognition AAAI 2020 Kornia: an Open Source Differentiable Computer Vision Library for PyTorch WACV 2020 KPNet: Towards Minimal Face Detector AAAI 2020