Neural Network Optimization

AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations IJCAI 2025 AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning ICLR 2025 AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference AAAI 2025 Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization ICML 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025 AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation AACL 2025 A Layer Selection Approach to Test Time Adaptation AAAI 2025 All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens EMNLP 2025 Allowing Oscillation Quantization: Overcoming Solution Space Limitation in Low Bit-Width Quantization ICCV 2025 AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time EMNLP 2025 ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025 A Machine Learning Approach to Duality in Statistical Physics ICML 2025 A Method for Enhancing Generalization of Adam by Multiple Integrations AAAI 2025 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules ICLR 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning ICLR 2025 Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025 An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025 An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count ICLR 2025 Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models IJCNLP 2025 Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025