conftrace_

Core Methods

51,083 papers (8 classified directly here)

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

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4

21

30

55

40

51

225

219

249

257

357

364

480

942

818

966

1,394

2,092

3,114

4,415

4,853

5,064

5,371

5,992

6,412

5,823

1,475

2000

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Papers (including subtopics)

Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Open-Set Facial Expression Recognition AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024 Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024 Operator learning without the adjoint JMLR 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Optimal Algorithms for Learning Partitions with Faulty Oracles NeurIPS 2024 Optimal and efficient text counterfactuals using Graph Neural Networks EMNLP 2024 Optimal Batched Best Arm Identification NeurIPS 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimal Clustering with Bandit Feedback JMLR 2024 Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ICLR 2024 Optimal estimation of Gaussian (poly)trees AISTATS 2024 Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks ICML 2024 Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation IJCAI 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024 Optimal Multiclass U-Calibration Error and Beyond NeurIPS 2024 Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining AAAI 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 Optimal Sample Complexity of Contrastive Learning ICLR 2024 Optimal Sparse Survival Trees AISTATS 2024