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Papers (including subtopics)

Scalable Zero-shot Entity Linking with Dense Entity Retrieval EMNLP 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020 Scaling Autoregressive Video Models ICLR 2020 Scaling Hidden Markov Language Models EMNLP 2020 Scaling Systematic Literature Reviews with Machine Learning Pipelines EMNLP 2020 Scaling up Kernel Ridge Regression via Locality Sensitive Hashing AISTATS 2020 Scaling up Simhash ACML 2020 SCALOR: Generative World Models with Scalable Object Representations ICLR 2020 ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling MLHC 2020 Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks NeurIPS 2020 SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor IJCAI 2020 Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks AAAI 2020 SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change SemEval 2020 SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. EMNLP 2020 Scikit-network: Graph Analysis in Python JMLR 2020 scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn JMLR 2020 Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions EMNLP 2020 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 Screenplay Quality Assessment: Can We Predict Who Gets Nominated? ACL 2020 Script Induction as Association Rule Mining ACL 2020 SdSV Challenge 2020: Large-Scale Evaluation of Short-Duration Speaker Verification Interspeech 2020 SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks NeurIPS 2020 Searching for Actions on the Hyperbole CVPR 2020 Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training AACL 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NeurIPS 2020