conftrace_

model training

137 papers

Explore in graph

Co-occurring keywords

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

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NIPS 2023
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023
Emergent Inabilities? Inverse Scaling Over the Course of Pretraining EMNLP 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NIPS 2023
Privacy Auditing with One (1) Training Run NIPS 2023
Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions ACL 2023
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps ICML 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NIPS 2022
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models NSDI 2022
Optimising Equal Opportunity Fairness in Model Training NAACL 2022
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract) AAAI 2022
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation ACL 2022
What to Learn, and How: Toward Effective Learning from Rationales ACL 2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing NIPS 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NIPS 2022
Data Selection Curriculum for Neural Machine Translation EMNLP 2022
Efficient yet Competitive Speech Translation: FBK@IWSLT2022 ACL 2022
Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC CVPR 2022
DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop EMNLP 2022
Towards Fair Dataset Distillation for Text Classification EMNLP 2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NIPS 2022
CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022
What Language Model to Train if You Have One Million GPU Hours? EMNLP 2022
Dynamic Augmentation Data Selection for Few-shot Text Classification EMNLP 2022
Improving Factual Consistency of Abstractive Summarization via Question Answering ACL 2021