Optimization

Machine Translation Decoding beyond Beam Search EMNLP 2021 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths ICCV 2021 MALI: A memory efficient and reverse accurate integrator for Neural ODEs ICLR 2021 Many-Speakers Single Channel Speech Separation with Optimal Permutation Training Interspeech 2021 Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021 MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021 Marius: Learning Massive Graph Embeddings on a Single Machine OSDI 2021 Maximal Clique Based Non-Autoregressive Open Information Extraction EMNLP 2021 Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control L4DC 2021 Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients AAAI 2021 Memory-efficient Transformers via Top-k Attention EMNLP 2021 Memory Optimization for Deep Networks ICLR 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 MetaGrad: Adaptation using Multiple Learning Rates in Online Learning JMLR 2021 Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021 Meta-learning to Improve Pre-training NeurIPS 2021 MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021 M-FAC: Efficient Matrix-Free Approximations of Second-Order Information NeurIPS 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Mind the Box: l_1-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021 Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NeurIPS 2021 Minimax Model Learning AISTATS 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots CoRL 2021 Minimum-Norm Differential Beamforming for Linear Array with Directional Microphones Interspeech 2021