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Neural Network Optimization

3648 directly classified papers

Papers per year

Papers

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge ACL 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 2025
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs ACL 2025
DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction ICCV 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm ICCV 2025
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment ICCV 2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025
Principles of Visual Tokens for Efficient Video Understanding ICCV 2025
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3) ICCV 2025
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
Losing Momentum in Continuous-time Stochastic Optimisation JMLR 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025
An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025