Deep Learning

A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature EMNLP 2021 Analyzing the tree-layer structure of Deep Forests ICML 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021 A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings NAACL 2021 Assessment of von Mises-Bernoulli Deep Neural Network in Sound Source Localization Interspeech 2021 A Survey of Machine Learning-Based Physics Event Generation IJCAI 2021 A Survey on Response Selection for Retrieval-based Dialogues IJCAI 2021 Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021 Back-translation for Large-Scale Multilingual Machine Translation EMNLP 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 Better Aggregation in Test-Time Augmentation ICCV 2021 Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap EMNLP 2021 Classification of mental illnesses on social media using RoBERTa EACL 2021 Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions AISTATS 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021 Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 Deep Bucket Elimination IJCAI 2021 Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021 DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis AAAI 2021