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Neural Network Optimization

902 directly classified papers

Papers per year

Papers

Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention CVPR 2025
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training CVPR 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025
Optimized Gradient Clipping for Noisy Label Learning AAAI 2025
Value Residual Learning ACL 2025
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025
FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025
Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025
Low-Rank Interconnected Adaptation across Layers ACL 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025
Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025
Segment-Based Attention Masking for GPTs ACL 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025
Language Models Grow Less Humanlike beyond Phase Transition ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025