Optimization

Learning diffusion at lightspeed NeurIPS 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition ICML 2024 Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation CoRL 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024 Light Unbalanced Optimal Transport NeurIPS 2024 Linear attention is (maybe) all you need (to understand Transformer optimization) ICLR 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024 Local Curvature Smoothing with Stein's Identity for Efficient Score Matching NeurIPS 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024 MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization NeurIPS 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024 MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024 Mean-Shift Feature Transformer CVPR 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024 MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NeurIPS 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024