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)

ESPACE: Dimensionality Reduction of Activations for Model Compression NeurIPS 2024 Evaluating Automatic Metrics with Incremental Machine Translation Systems EMNLP 2024 Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction ACL 2024 Evaluating Numerical Reasoning in Text-to-Image Models NeurIPS 2024 Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off ECCV 2024 Evaluating the design space of diffusion-based generative models NeurIPS 2024 Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ ACL 2024 Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs ACL 2024 Evalverse: Unified and Accessible Library for Large Language Model Evaluation EMNLP 2024 Even Sparser Graph Transformers NeurIPS 2024 Exact Mean Square Linear Stability Analysis for SGD COLT 2024 ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis ICLR 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NeurIPS 2024 Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion NeurIPS 2024 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024 Exploring DCN-like architecture for fast image generation with arbitrary resolution NeurIPS 2024 Exploring Defeasibility in Causal Reasoning ACL 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Exploring Quantization for Efficient Pre-Training of Transformer Language Models EMNLP 2024 Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification EMNLP 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation AAAI 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Exploring Token Pruning in Vision State Space Models NeurIPS 2024