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Inference Optimization

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Showing 1–50 of 56 papers

TitleStatusHype
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video SegmentationCode5
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RLCode3
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
Inference Performance Optimization for Large Language Models on CPUsCode3
CycleBNN: Cyclic Precision Training in Binary Neural NetworksCode2
Painterly Image Harmonization using Diffusion ModelCode1
A Novel 1D State Space for Efficient Music Rhythmic AnalysisCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
Easy and Efficient Transformer : Scalable Inference Solution For large NLP modelCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge—0
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks—0
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Faster MoE LLM Inference for Extremely Large Models—0
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization—0
FluidML: Fast and Memory Efficient Inference Optimization—0
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals—0
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization—0
Inference Optimization of Foundation Models on AI Accelerators—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—0
An approach to optimize inference of the DIART speaker diarization pipeline—0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
Advances and Open Challenges in Federated Foundation Models—0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition—0
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization—0
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems—0
CRVI: Convex Relaxation for Variational Inference—0
Deep Signal Recovery with One-Bit Quantization—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation—0
Learning to Infer—0
Networked Signal and Information Processing—0
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning—0
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization—0
SBbadger: Biochemical Reaction Networks with Definable Degree Distributions—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation—0
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition—0
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions—0
The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries—0
Bayesian Active Learning in the Presence of Nuisance Parameters—0
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation—0
Input Convex Neural NetworksCode0
A General Method for Amortizing Variational FilteringCode0
Iterative Amortized InferenceCode0
Brevity is the soul of sustainability: Characterizing LLM response lengthsCode0
LLM-Rank: A Graph Theoretical Approach to Pruning Large Language ModelsCode0
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