Optimization

Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence AISTATS 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning Sparsity for Effective and Efficient Music Performance Question Answering ACL 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learn Singularly Perturbed Solutions via Homotopy Dynamics ICML 2025 LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 2025 LESA: Learnable LLM Layer Scaling-Up ACL 2025 Less is More: Efficient Image Vectorization with Adaptive Parameterization CVPR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 LIPIDS: Learning-Based Illumination Planning in Discretized (Light) Space for Photometric Stereo WACV 2025 LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding EMNLP 2025 Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning NAACL 2025 MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction NAACL 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 Memory-Efficient Optimization with Factorized Hamiltonian Descent AISTATS 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation CVPR 2025 MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding ICCV 2025 MIRE: Matched Implicit Neural Representations CVPR 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025 MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025