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

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16

9

25

48

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94

150

295

436

675

803

1,010

944

1,346

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463

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Papers (including subtopics)

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories CVPR 2025 RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning UAI 2025 RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks EMNLP 2025 RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features UAI 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 REB-former: RWKV-enhanced E-branchformer for Speech Recognition Interspeech 2025 ReBotNet: Fast Real-Time Video Enhancement WACV 2025 Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation EMNLP 2025 Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025 Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models CVPR 2025 Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation EMNLP 2025 Rectified Diffusion Guidance for Conditional Generation CVPR 2025 Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025 RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs ACL 2025 Redundancy Principles for MLLMs Benchmarks ACL 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation EMNLP 2025 Regularity in Canonicalized Models: A Theoretical Perspective AISTATS 2025 Regularizing Learnable Feature Extraction for Automatic Speech Recognition Interspeech 2025 Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks AISTATS 2025 RemDet: Rethinking Efficient Model Design for UAV Object Detection AAAI 2025 REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities ACL 2025 Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing EMNLP 2025