model optimization

Automated Human Strategic Behavior Modeling via Large Language Models AAAI 2026 Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities AAAI 2026 Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling AAAI 2026 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection EMNLP 2025 Boosting Multimodal Learning via Disentangled Gradient Learning ICCV 2025 Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions NAACL 2025 depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers JMLR 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation CVPR 2025 Elucidating the Preconditioning in Consistency Distillation ICLR 2025 Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree ACL 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 How Far Are We from True Unlearnability? ICLR 2025 MaskVD: Region Masking for Efficient Video Object Detection WACV 2025 Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 Self-Improvement in Multimodal Large Language Models: A Survey EMNLP 2025 Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025 Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025 Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance AAAI 2025 Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 Analyzing and Improving the Training Dynamics of Diffusion Models CVPR 2024