conftrace_

model optimization

75 papers

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Co-occurring keywords

model compression (3302) neural network optimization (1293) efficient computing (781) large language model (13587) knowledge distillation (3725) neural network (6616) deep neural network (1803) convolutional neural network (4226) layer normalization (65) diffusion model (3751)

Papers

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling AAAI 2026
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
Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025
SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation ACL 2025
Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions NAACL 2025
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation CVPR 2025
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers JMLR 2025
BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection EMNLP 2025
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance AAAI 2025
Self-Improvement in Multimodal Large Language Models: A Survey EMNLP 2025
GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ACL 2025
Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree ACL 2025
Boosting Multimodal Learning via Disentangled Gradient Learning ICCV 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025
Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025
Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025
Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025
MaskVD: Region Masking for Efficient Video Object Detection WACV 2025
Analyzing and Improving the Training Dynamics of Diffusion Models CVPR 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024