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)

Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding ACL 2024 GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving ACL 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Convergent Variational Inference NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024 GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation CVPR 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 Gradient-free Decoder Inversion in Latent Diffusion Models NeurIPS 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective NeurIPS 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024 GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Graph-Structured Speculative Decoding ACL 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024