| SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition | Oct 4, 2019 | Inference Optimizationspeech-recognition | —Unverified | 0 | 0 |
| Faster MoE LLM Inference for Extremely Large Models | May 6, 2025 | Inference OptimizationMixture-of-Experts | —Unverified | 0 | 0 |
| Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization | Dec 20, 2023 | Federated LearningInference Optimization | —Unverified | 0 | 0 |
| FluidML: Fast and Memory Efficient Inference Optimization | Nov 14, 2024 | Autonomous VehiclesInference Optimization | —Unverified | 0 | 0 |
| Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals | Jan 28, 2025 | Inference Optimization | —Unverified | 0 | 0 |
| Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization | Feb 14, 2025 | GSM8KInference Optimization | —Unverified | 0 | 0 |
| Inference Optimization of Foundation Models on AI Accelerators | Jul 12, 2024 | Inference OptimizationModel Compression | —Unverified | 0 | 0 |
| Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization | Aug 3, 2021 | Inference OptimizationKeyword Spotting | —Unverified | 0 | 0 |
| The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities | Aug 23, 2024 | Computational EfficiencyInference Optimization | —Unverified | 0 | 0 |
| Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation | Nov 29, 2019 | Inference OptimizationSemantic Segmentation | —Unverified | 0 | 0 |
| SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions | Nov 23, 2023 | CPUGPU | —Unverified | 0 | 0 |
| Learning to Infer | Jan 1, 2018 | Inference Optimization | —Unverified | 0 | 0 |
| An approach to optimize inference of the DIART speaker diarization pipeline | Aug 5, 2024 | Inference OptimizationKnowledge Distillation | —Unverified | 0 | 0 |
| Networked Signal and Information Processing | Oct 25, 2022 | Decision MakingInference Optimization | —Unverified | 0 | 0 |
| Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition | Dec 6, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 | 0 |
| Advances and Open Challenges in Federated Foundation Models | Apr 23, 2024 | Computational EfficiencyFederated Learning | —Unverified | 0 | 0 |
| The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries | Jun 14, 2025 | Bug fixingInference Optimization | —Unverified | 0 | 0 |
| Bayesian Active Learning in the Presence of Nuisance Parameters | Oct 23, 2023 | Active LearningExperimental Design | —Unverified | 0 | 0 |
| Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning | Sep 2, 2024 | Inference OptimizationLanguage Modeling | —Unverified | 0 | 0 |
| Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization | Jul 2, 2024 | Inference OptimizationSpeech Synthesis | —Unverified | 0 | 0 |
| SBbadger: Biochemical Reaction Networks with Definable Degree Distributions | Feb 25, 2022 | Inference Optimization | —Unverified | 0 | 0 |
| Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval | Jun 10, 2024 | Inference OptimizationInformation Retrieval | —Unverified | 0 | 0 |
| Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation | Jul 6, 2022 | Inference OptimizationMulti-Person Pose Estimation | —Unverified | 0 | 0 |
| A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data | Jan 18, 2019 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Deep Signal Recovery with One-Bit Quantization | Nov 30, 2018 | BIG-bench Machine LearningComputational Efficiency | —Unverified | 0 | 0 |