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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)

Scalable Patent Classification with Aggregated Multi-View Ranking COLING 2024 Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024 ScalarLab@TRAC2024: Exploring Machine Learning Techniques for Identifying Potential Offline Harm in Multilingual Commentaries COLING 2024 Scale-Free Image Keypoints Using Differentiable Persistent Homology ICML 2024 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models NeurIPS 2024 Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery AAAI 2024 Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024 Scaling Laws for Associative Memories ICLR 2024 Scaling Laws of RoPE-based Extrapolation ICLR 2024 Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Sentence Embeddings with Large Language Models EMNLP 2024 Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% NeurIPS 2024 Scaling up Discovery of Latent Concepts in Deep NLP Models EACL 2024 Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data AAAI 2024 Scaling Up Unbiased Search-based Symbolic Regression IJCAI 2024 ScanFormer: Referring Expression Comprehension by Iteratively Scanning CVPR 2024 SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation CVPR 2024 SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark ACL 2024 Scene Adaptive Sparse Transformer for Event-based Object Detection CVPR 2024 SceneTeller: Language-to-3D Scene Generation ECCV 2024 Scented-EAE: Stage-Customized Entity Type Embedding for Event Argument Extraction ACL 2024 Schur Nets: exploiting local structure for equivariance in higher order graph neural networks NeurIPS 2024 SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score EMNLP 2024 SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval ACL 2024