conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Decoupled Subgraph Federated Learning ICLR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 2025 Decoupling Angles and Strength in Low-rank Adaptation ICLR 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease AAAI 2025 DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders CVPR 2025 DEEM: Diffusion models serve as the eyes of large language models for image perception ICLR 2025 Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-sharpening ICCV 2025 Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models EMNLP 2025 Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection SemEval 2025 Deep Bayesian Filter for Bayes-Faithful Data Assimilation ICML 2025 DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025 Deep-change at CoMeDi: the Cross-Entropy Loss is not All You Need COLING 2025 Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection CVPR 2025 DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization L4DC 2025 Deep Clustering via Probabilistic Ratio-Cut Optimization AISTATS 2025 Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models ICLR 2025 DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025 DeepCrossAttention: Supercharging Transformer Residual Connections ICML 2025 Deep Disentangled Metric Learning AAAI 2025 Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025