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Neural Network Optimization

902 directly classified papers

Papers per year

Papers

Revisiting Downsampling in Semantic Segmentation: Fighting Aliasing with Dynamic Gaussian and Gabor Frequency Filters AAAI 2026
Revisiting Network Inertia: Dynamic Inertia Inhibition Coupled Multidimensional Periodicity for Infrared and Visible Image Fusion AAAI 2026
Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between WACV 2026
Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching EMNLP 2025
Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025
Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025
LightThinker: Thinking Step-by-Step Compression EMNLP 2025
NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs’ Reasoning EMNLP 2025
The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025
Segment-Based Attention Masking for GPTs ACL 2025
Language Models Grow Less Humanlike beyond Phase Transition ACL 2025
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025
Value Residual Learning ACL 2025
FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025
Low-Rank Interconnected Adaptation across Layers ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025