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)

DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs EMNLP 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Data-free Neural Representation Compression with Riemannian Neural Dynamics ICML 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NeurIPS 2024 Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024 DeepCache: Accelerating Diffusion Models for Free CVPR 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 Deep Hierarchical Video Compression AAAI 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 Deep Neural Networks via Complex Network Theory: A Perspective IJCAI 2024 Deep Plug-and-Play Nighttime Non-Blind Deblurring With Saturated Pixel Handling Schemes WACV 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NeurIPS 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 DemoFusion: Democratising High-Resolution Image Generation With No $$$ CVPR 2024 Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model NeurIPS 2024 Depth Separation in Norm-Bounded Infinite-Width Neural Networks COLT 2024