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)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards a mathematical theory for consistency training in diffusion models AISTATS 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards compact and efficient Slovak summarization models ACL 2025 Towards Early Prediction of Self-Supervised Speech Model Performance Interspeech 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards Lossless Implicit Neural Representation via Bit Plane Decomposition CVPR 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025 Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025 Towards Precise Scaling Laws for Video Diffusion Transformers CVPR 2025 Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning MIDL 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 Towards the Law of Capacity Gap in Distilling Language Models ACL 2025 Towards Understanding How Knowledge Evolves in Large Vision-Language Models CVPR 2025 Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories AAAI 2025 TRACE: Training and Inference-Time Interpretability Analysis for Language Models EMNLP 2025