model training

Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing NeurIPS 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract) AAAI 2022 What Language Model to Train if You Have One Million GPU Hours? EMNLP 2022 What to Learn, and How: Toward Effective Learning from Rationales ACL 2022 What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation ACL 2022 A Block Minifloat Representation for Training Deep Neural Networks ICLR 2021 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Cut out the annotator, keep the cutout: better segmentation with weak supervision ICLR 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021 HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing EACL 2021 Improving Factual Consistency of Abstractive Summarization via Question Answering ACL 2021 Interpolation-Based Semi-Supervised Learning for Object Detection CVPR 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Privacy Budget Scheduling OSDI 2021 Scaling Distributed Machine Learning with In-Network Aggregation NSDI 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute EMNLP 2021 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Apache Mahout: Machine Learning on Distributed Dataflow Systems JMLR 2020 eTranslation’s Submissions to the WMT 2020 News Translation Task EMNLP 2020 Federated Learning with Matched Averaging ICLR 2020