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)

Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimize & Reduce: A Top-Down Approach for Image Vectorization AAAI 2024 Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs EMNLP 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 Optimizing Diffusion Noise Can Serve As Universal Motion Priors CVPR 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 Ordered Momentum for Asynchronous SGD NeurIPS 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024 OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution AAAI 2024 Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024 Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NeurIPS 2024 Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 P2D: Plug and Play Discriminator for Accelerating GAN Frameworks WACV 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024 Parameter Competition Balancing for Model Merging NeurIPS 2024 Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model CVPR 2024 Parameter-free Clipped Gradient Descent Meets Polyak NeurIPS 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NeurIPS 2024 PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment EMNLP 2024