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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 251–300 of 380 papers

TitleStatusHype
Towards Data-centric Machine Learning on Directed Graphs: a Survey—0
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Transducer Consistency Regularization for Speech to Text Applications—0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
Trust-Aware Diversion for Data-Effective Distillation—0
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines—0
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation—0
UDD: Dataset Distillation via Mining Underutilized Regions—0
Ultra-Low Power Keyword Spotting at the Edge—0
Untangling tradeoffs between recurrence and self-attention in neural networks—0
Untangling tradeoffs between recurrence and self-attention in artificial neural networks—0
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models—0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies—0
Validation of machine learning based scenario generators—0
Variational Inference via Transformations on Distributions—0
Vertical Federated Continual Learning via Evolving Prototype Knowledge—0
Video Analytics on IoT devices—0
Vision-language Assisted Attribute Learning—0
Visual Tactile Fusion Object Clustering—0
A keyword-driven approach to science—0
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation—0
Learning Physical Simulation with Message Passing Transformer—0
Learning to Insert for Constructive Neural Vehicle Routing Solver—0
Lifelong Metric Learning—0
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection—0
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection—0
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks—0
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction—0
Lossless Model Compression via Joint Low-Rank Factorization Optimization—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference—0
Map Feature Perception Metric for Map Generation Quality Assessment and Loss Optimization—0
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets—0
Meta-Learning Empowered Meta-Face: Personalized Speaking Style Adaptation for Audio-Driven 3D Talking Face Animation—0
Meta-Learning for Few-Shot Land Cover Classification—0
Meta-Learning with Individualized Feature Space for Few-Shot Classification—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
MicroNAS: An Automated Framework for Developing a Fall Detection System—0
Minimum Volume Topic Modeling—0
Medical Image Registration via Neural Fields—0
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition—0
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective—0
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
Model Complexity of Deep Learning: A Survey—0
Model Optimization for Deep Space Exploration via Simulators and Deep Learning—0
MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration—0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search—0
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