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)

Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024 Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training EMNLP 2024 Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024 MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract) AAAI 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024 MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024 MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity SemEval 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NeurIPS 2024 Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models EMNLP 2024 MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-Shift Feature Transformer CVPR 2024 Measuring Psychological Depth in Language Models EMNLP 2024 MediSwift: Efficient Sparse Pre-trained Biomedical Language Models ACL 2024 MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NeurIPS 2024 MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI 2024 Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk EMNLP 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024