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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 176–200 of 380 papers

TitleStatusHype
Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability—0
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network—0
ProMoAI: Process Modeling with Generative AI—0
Proximal Policy Optimization and its Dynamic Version for Sequence Generation—0
PUMA: Performance Unchanged Model Augmentation for Training Data Removal—0
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
Quantifying Overfitting: Introducing the Overfitting Index—0
R2 Loss: Range Restriction Loss for Model Compression and Quantization—0
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively—0
Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language Models—0
Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data—0
Representative Task Self-selection for Flexible Clustered Lifelong Learning—0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization—0
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry—0
Scaling LLM Pre-training with Vocabulary Curriculum—0
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation—0
Semi-supervised and Population Based Training for Voice Commands Recognition—0
Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers—0
Subgroup Analysis via Model-based Rule Forest—0
Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models—0
Super-Resolution works for coastal simulations—0
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study—0
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning—0
SycEval: Evaluating LLM Sycophancy—0
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