Optimization

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 Picking Sequences and Monotonicity in Weighted Fair Division IJCAI 2021 PID Accelerated Value Iteration Algorithm ICML 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 Pipeline Combinators for Gradual AutoML NeurIPS 2021 PiRank: Scalable Learning To Rank via Differentiable Sorting NeurIPS 2021 Pixel-Perfect Structure-From-Motion With Featuremetric Refinement ICCV 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces NeurIPS 2021 PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NeurIPS 2021 PODS: Policy Optimization via Differentiable Simulation ICML 2021 Point-Set Distances for Learning Representations of 3D Point Clouds ICCV 2021 Polarimetric Helmholtz Stereopsis ICCV 2021 Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo CVPR 2021 Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning OSDI 2021 Polyjuice: High-Performance Transactions via Learned Concurrency Control OSDI 2021 Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials ICCV 2021 Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning IJCAI 2021 Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization ICML 2021 POT: Python Optimal Transport JMLR 2021 Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021 Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design ICLR 2021 Precision-based Boosting AAAI 2021 Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding Models Interspeech 2021