Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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
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'25
Papers (including subtopics)
Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
ALT 2026
Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model
AAAI 2026
Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction
AAAI 2026
Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
AAAI 2026
Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty
CVPR 2026
Evidential Semantic Entropy for LLM Uncertainty Quantification
EACL 2026
Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
CVPR 2026
EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion
AAAI 2026
Evolutionary Search for Automated Design of Uncertainty Quantification Methods
ACL 2026
Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting
AAAI 2026
EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
ACL 2026
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
WACV 2026
Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning
AAAI 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
AAAI 2026
Exact Uncertainty Propagation via Gaussian Process Neurons
UAI 2026
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
EACL 2026
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
WACV 2026
Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure
CVPR 2026
Exemplar-Free Continual Learning for State Space Models
CVPR 2026
Exogenous Randomness Empowering Random Forests
JMLR 2026
ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables
AAAI 2026
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
AAAI 2026
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
AAAI 2026
Experience with Single Domain Generalization in Real World Medical Imaging Deployments
AAAI 2026
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services
AAAI 2026