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Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

Papers per year

16
60
675
1,352
'10
'15
'20
'25

Papers (including subtopics)

Look-Up Table Compression for Efficient Image Restoration CVPR 2024 LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024 LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation EMNLP 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild ACL 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 Loss Landscape Characterization of Neural Networks without Over-Parametrization NeurIPS 2024 Low-Latency Space-Time Supersampling for Real-Time Rendering AAAI 2024 Low-power Continuous Remote Behavioral Localization with Event Cameras CVPR 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels CVPR 2024 L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer NeurIPS 2024 Lyapunov-Stable Deep Equilibrium Models AAAI 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024 M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks EMNLP 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