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)

Score-Based Training for Energy-Based TTS Models Interspeech 2025 ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters AISTATS 2025 SDBench: A Comprehensive Benchmark Suite for Speaker Diarization Interspeech 2025 SEAL: Systematic Error Analysis for Value ALignment AAAI 2025 Security Attacks on LLM-based Code Completion Tools AAAI 2025 SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding COLING 2025 Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors EMNLP 2025 Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 Segment-Based Attention Masking for GPTs ACL 2025 Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation CVPR 2025 SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation MIDL 2025 Select-then-Route : Taxonomy guided Routing for LLMs EMNLP 2025 Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation AAAI 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 Self-Improvement in Language Models: The Sharpening Mechanism ICLR 2025 SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025 Semantic Agreement Enables Efficient Open-Ended LLM Cascades EMNLP 2025 Semantic Masking in a Needle-in-a-haystack Test for Evaluating Large Language Model Long-Text Capabilities COLING 2025 Semi-Implicit Neural Ordinary Differential Equations AAAI 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation CVPR 2025 Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models EMNLP 2025 Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models ACL 2025 Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters AAAI 2025 Sequence-level Large Language Model Training with Contrastive Preference Optimization NAACL 2025