conftrace_

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

8

7

12

6

16

9

25

48

45

60

94

150

295

436

675

803

1,010

944

1,346

1,352

463

'10

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'25

Papers (including subtopics)

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion EMNLP 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 Orthogonal projection-based regularization for efficient model augmentation L4DC 2025 OSV: One Step is Enough for High-Quality Image to Video Generation CVPR 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion AAAI 2025 Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025 Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025 Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan ICML 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning ACL 2025 Parallel Continuous Chain-of-Thought with Jacobi Iteration EMNLP 2025 Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection ICCV 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models ICLR 2025 PARQ: Piecewise-Affine Regularized Quantization ICML 2025 Partial Filter-Sharing: Improved Parameter-Sharing Method for Single Image Super-Resolution Networks WACV 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS AAAI 2025 Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints AAAI 2025 Paths and Ambient Spaces in Neural Loss Landscapes AISTATS 2025 PAT: Pruning-Aware Tuning for Large Language Models AAAI 2025 PAVE: Patching and Adapting Video Large Language Models CVPR 2025