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Neural Network Optimization

3648 directly classified papers

Papers per year

Papers

The Gradient of Algebraic Model Counting AAAI 2025
Cross-Task Affinity Learning for Multitask Dense Scene Predictions WACV 2025
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025
Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction EMNLP 2025
One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning IJCNLP 2025
DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation AAAI 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025
Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025
Neural Variable-Order Fractional Differential Equation Networks AAAI 2025
Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025
PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model AAAI 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025
Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025
B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer AAAI 2025
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks AAAI 2025
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SEMEVAL 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 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