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)

Memory-Efficient Reversible Spiking Neural Networks AAAI 2024 Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations ACL 2024 MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NeurIPS 2024 MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024 MIBench: Evaluating Multimodal Large Language Models over Multiple Images EMNLP 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding NeurIPS 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention NeurIPS 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024 Mixture of Diverse Size Experts EMNLP 2024 Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules EMNLP 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens NeurIPS 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 MLP Can Be A Good Transformer Learner CVPR 2024 MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024 MobileInst: Video Instance Segmentation on the Mobile AAAI 2024 MobileQuant: Mobile-friendly Quantization for On-device Language Models EMNLP 2024 MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech ACL 2024