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)

Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores EMNLP 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025 Modular Duality in Deep Learning ICML 2025 MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025 Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization UAI 2025 MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025 Monitoring Primitive Interactions During the Training of DNNs AAAI 2025 MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts ACL 2025 MorphMark: Flexible Adaptive Watermarking for Large Language Models ACL 2025 MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics ICCV 2025 MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025 MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025 mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding ACL 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models AAAI 2025 M-RewardBench: Evaluating Reward Models in Multilingual Settings ACL 2025 MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025 MT2ST: Adaptive Multi-Task to Single-Task Learning ACL 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025 Multi-Branch Self-Drafting for LLM Inference Acceleration AAAI 2025 Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models AAAI 2025 Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling ACL 2025 Multimodal Promptable Token Merging for Diffusion Models AAAI 2025 Multi-objective Differentiable Neural Architecture Search ICLR 2025 Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER EMNLP 2025 MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025