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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
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

RepCodec: A Speech Representation Codec for Speech Tokenization ACL 2024 Repeat After Me: Transformers are Better than State Space Models at Copying ICML 2024 RepEval: Effective Text Evaluation with LLM Representation EMNLP 2024 RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation CVPR 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Replicable Learning of Large-Margin Halfspaces ICML 2024 RepMatch: Quantifying Cross-Instance Similarities in Representation Space EMNLP 2024 Report on the Multilingual Euphemism Detection Task NAACL 2024 Representational Analysis of Binding in Language Models EMNLP 2024 Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Representation Learning via Manifold Flattening and Reconstruction JMLR 2024 Representation Learning with Conditional Information Flow Maximization ACL 2024 Representation Surgery for Multi-Task Model Merging ICML 2024 Representation Surgery: Theory and Practice of Affine Steering ICML 2024 Representing Molecules as Random Walks Over Interpretable Grammars ICML 2024 Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024 Reproducibility of predictive networks for mouse visual cortex NeurIPS 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024 Re-Reading Improves Reasoning in Large Language Models EMNLP 2024 Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024 Researcher Representations Based on Aggregating Embeddings of Publication Titles: A Case Study in a Japanese Academic Database ACL 2024 Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract) AAAI 2024 ResFields: Residual Neural Fields for Spatiotemporal Signals ICLR 2024 Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization NeurIPS 2024