| Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters | 0 | 0.34 | 2022 |
| Unified Visual Transformer Compression. | 0 | 0.34 | 2022 |
| Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. | 0 | 0.34 | 2022 |
| Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. | 0 | 0.34 | 2022 |
| Data Poisoning Attacks on Federated Machine Learning | 0 | 0.34 | 2022 |
| BAGUA: Scaling up Distributed Learning with System Relaxations. | 0 | 0.34 | 2022 |
| Dynamic Sparse R-CNN | 0 | 0.34 | 2022 |
| Towards Statistically Provable Geometric 3d Human Pose Recovery | 0 | 0.34 | 2021 |
| Streaming Bayesian Deep Tensor Factorization | 0 | 0.34 | 2021 |
| E2VTS - Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. | 0 | 0.34 | 2021 |
| 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed | 0 | 0.34 | 2021 |
| BAGUA: Scaling up Distributed Learning with System Relaxations. | 0 | 0.34 | 2021 |
| Incorporating Global Information in Local Attention for Knowledge Representation Learning. | 0 | 0.34 | 2021 |
| MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal | 1 | 0.35 | 2021 |
| Distributed Learning Systems with First-Order Methods. | 0 | 0.34 | 2020 |
| Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search | 0 | 0.34 | 2020 |
| HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation | 0 | 0.34 | 2020 |
| Hierarchical Prototype Learning for Zero-Shot Recognition | 1 | 0.36 | 2020 |
| IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval | 7 | 0.46 | 2020 |
| Deep Embedded Complementary And Interactive Information For Multi-View Classification | 0 | 0.34 | 2020 |
| Automatic Neural Network Compression By Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach | 0 | 0.34 | 2020 |
| Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free | 0 | 0.34 | 2020 |
| Anomaly detection via adaptive greedy model. | 1 | 0.35 | 2019 |
| Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. | 0 | 0.34 | 2019 |
| Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. | 1 | 0.35 | 2019 |
| Adversarially Trained Model Compression: When Robustness Meets Efficiency. | 0 | 0.34 | 2019 |
| Distributed Learning over Unreliable Networks | 0 | 0.34 | 2019 |
| LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. | 0 | 0.34 | 2019 |
| Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. | 0 | 0.34 | 2019 |
| Ecc: Platform-Independent Energy-Constrained Deep Neural Network Compression Via A Bilinear Regression Model | 0 | 0.34 | 2019 |
| Lifelong Metric Learning. | 5 | 0.47 | 2019 |
| Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. | 3 | 0.38 | 2019 |
| Model Compression with Adversarial Robustness: A Unified Optimization Framework | 5 | 0.40 | 2019 |
| Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent | 0 | 0.34 | 2019 |
| A Generic Active Learning Framework for Class Imbalance Applications. | 0 | 0.34 | 2019 |
| Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. | 1 | 0.36 | 2019 |
| Communication Compression for Decentralized Training. | 10 | 0.57 | 2018 |
| Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads. | 0 | 0.34 | 2018 |
| Ease.ml in Action: Towards Multi-tenant Declarative Learning Services. | 0 | 0.34 | 2018 |
| Multi-device, Multi-tenant Model Selection with GP-EI. | 0 | 0.34 | 2018 |
| Distributed Learning over Unreliable Networks. | 0 | 0.34 | 2018 |
| ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. | 1 | 0.35 | 2018 |
| Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. | 0 | 0.34 | 2018 |
| Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis. | 0 | 0.34 | 2018 |
| Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. | 0 | 0.34 | 2018 |
| Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. | 0 | 0.34 | 2018 |
| GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. | 0 | 0.34 | 2018 |
| Proximal gradient temporal difference learning: stable reinforcement learning with polynomial sample complexity | 0 | 0.34 | 2018 |
| User attribute discovery with missing labels. | 4 | 0.43 | 2018 |
| Ease.ml: towards multi-tenant resource sharing for machine learning workloads | 8 | 0.46 | 2018 |
