model inference

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023 SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023 A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model ACL 2022 BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022 Conditional Generative Model Based Predicate-Aware Query Approximation AAAI 2022 DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale ICML 2022 FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022 Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions ICML 2022 TAG: Learning Timed Automata from Logs AAAI 2022 Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021 Selective Feature Compression for Efficient Activity Recognition Inference ICCV 2021 SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System Interspeech 2021 Alembic: Automated Model Inference for Stateful Network Functions NSDI 2019 Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019 Generalizing GANs: A Turing Perspective NeurIPS 2017 Marginals-to-Models Reducibility NeurIPS 2013 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Causal discovery in multiple models from different experiments NeurIPS 2010