conftrace_

model training

137 papers

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large language model (13587) neural network optimization (1293) neural network (6616) model compression (3302) federated learning (1333) language model (4599) deep neural network (1803) differential privacy (1016) neural network training (309) representation learning (6206)

Papers

Manipulating SGD with Data Ordering Attacks NIPS 2021
Privacy Budget Scheduling OSDI 2021
Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Interpolation-Based Semi-Supervised Learning for Object Detection CVPR 2021
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute EMNLP 2021
Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth ACL 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021
One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing EACL 2021
Scaling Distributed Machine Learning with In-Network Aggregation NSDI 2021
Privacy-Preserving News Recommendation Model Learning EMNLP 2020
eTranslation’s Submissions to the WMT 2020 News Translation Task EMNLP 2020
Towards Accurate and Reliable Energy Measurement of NLP Models EMNLP 2020
Apache Mahout: Machine Learning on Distributed Dataflow Systems JMLR 2020
Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020
On Efficient Constructions of Checkpoints ICML 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020
Training-Time-Friendly Network for Real-Time Object Detection AAAI 2020
Practical Quasi-Newton Methods for Training Deep Neural Networks NIPS 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020
A Dual Approach to Verify and Train Deep Networks IJCAI 2019