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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
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'15
'20
'25

Papers (including subtopics)

MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference ACL 2025 Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation CVPR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 MIRE: Matched Implicit Neural Representations CVPR 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning ICLR 2025 Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding ACL 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 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 Mixup Regularization: A Probabilistic Perspective UAI 2025 MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network AAAI 2025 MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios ACL 2025 MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding NAACL 2025 MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025 MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models ACL 2025 MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025 Mobile Video Diffusion ICCV 2025 MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025 MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning ICCV 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting CVPR 2025 Model as Loss: A Self-Consistent Training Paradigm Interspeech 2025