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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)

NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inference Interspeech 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 Nesterov acceleration in benignly non-convex landscapes ICLR 2025 NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls EMNLP 2025 Neural Collapse Inspired Knowledge Distillation AAAI 2025 Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 Neural Variable-Order Fractional Differential Equation Networks AAAI 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025 Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition CVPR 2025 NormXLogit: The Head-on-Top Never Lies EMNLP 2025 Not All Layers of LLMs Are Necessary During Inference IJCAI 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization EMNLP 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models CVPR 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models ICCV 2025 OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking CVPR 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025