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

'15

'20

'25

Papers (including subtopics)

PointBeV: A Sparse Approach for BeV Predictions CVPR 2024 Point Transformer V3: Simpler Faster Stronger CVPR 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024 POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Practical Shuffle Coding NeurIPS 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization EMNLP 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 Pre-trained Large Language Models Use Fourier Features to Compute Addition NeurIPS 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024 Probabilistically Robust Watermarking of Neural Networks IJCAI 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion AAAI 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024 PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP 2024