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)

Discovering Mixture Skills for Unsupervised Reinforcement Learning AAAI 2026 Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery WACV 2026 Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning AAAI 2026 Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026 Discriminative Feature Feedback with General Teacher Classes ALT 2026 Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis AAAI 2026 Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026 Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition AAAI 2026 Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction AAAI 2026 Disentangling Meaning and Language Components in Diverse Multilingual Sentence Embeddings ACL 2026 DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction EACL 2026 Distill and Align Decomposition for Enhanced Claim Verification EACL 2026 Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026 Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026 Distilling Balanced Knowledge from a Biased Teacher CVPR 2026 Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026 Distilling Diversity and Control in Diffusion Models WACV 2026 Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection AAAI 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026 Distractor-Based Jailbreaking Attacks in Language Models and Associated Changes in Chain-of-Thought Content (Student Abstract) AAAI 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes AAAI 2026