conftrace_

model deployment

35 papers

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Co-occurring keywords

distribution shift (722) large language model (13587) performative prediction (31) neural network (6616) deep learning (2118) knowledge distillation (3725) transfer learning (5449) model compression (3302) energy consumption (37) prediction model (26)

Papers

Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work ACL 2025
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems ACL 2024
Toward Efficient Inference for Mixture of Experts NIPS 2024
Optimal Classification under Performative Distribution Shift NIPS 2024
HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices NAACL 2024
Large Language Models as SocioTechnical Systems EMNLP 2023
Prompt2Model: Generating Deployable Models from Natural Language Instructions EMNLP 2023
Stitchable Neural Networks CVPR 2023
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks CVPR 2022
Anticipating Performativity by Predicting from Predictions NIPS 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning OSDI 2022
GeoEngine: A Platform for Production-Ready Geospatial Research CVPR 2022
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback NAACL 2022
BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022
NeMo (Inverse) Text Normalization: From Development to Production INTERSPEECH 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models NAACL 2021
Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning ICCV 2021
Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding Models INTERSPEECH 2021
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances AAAI 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021