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)

A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization JMLR 2026 Anatomical Longitudinal Cortical Surface Registration MIDL 2026 A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation JMLR 2026 Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization ACL 2026 Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning ACL 2026 Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models ACL 2026 ApET: Approximation-Error Guided Token Compression for Efficient VLMs CVPR 2026 ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs ACL 2026 Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction ACL 2026 Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training NSDI 2026 Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding CVPR 2026 Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models CVPR 2026 Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks ACL 2026 Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer CVPR 2026 A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling CVPR 2026 AVGGT: Rethinking Global Attention for Accelerating VGGT CVPR 2026 Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution CVPR 2026 BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates CVPR 2026 BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026 Batch Loss Score for Dynamic Data Pruning CVPR 2026 BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object Extraction CVPR 2026 Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models CVPR 2026 Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning CVPR 2026 Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026