Neural Network Optimization
4,155 papers
Papers per year
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Papers
1LoRA: Summation Compression for Very Low-Rank Adaptation
WACV 2026
A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning
AAAI 2026
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure
EACL 2026
Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs
AAAI 2026
Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
AAAI 2026
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
WACV 2026
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin
AAAI 2026
Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation
EACL 2026
Beyond Sharpness: The Role of Nonuniformity in Generalization
AAAI 2026
Boosting Adversarial Transferability via Ensemble Non-Attention
AAAI 2026
Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling
EACL 2026
Can Calibration of Positional Encodings Enhance Long Context Utilization?
EACL 2026
Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
EACL 2026
Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression
AAAI 2026
DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF
AAAI 2026
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract)
AAAI 2026
DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation
EACL 2026
Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers
AAAI 2026
Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
EACL 2026
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths
AAAI 2026
Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs
AAAI 2026
EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting
AAAI 2026
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
AAAI 2026
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
AAAI 2026