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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
'5
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'15
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'25

Papers (including subtopics)

Fine-grained Conversational Decoding via Isotropic and Proximal Search EMNLP 2023 Fine-grained Expressivity of Graph Neural Networks NeurIPS 2023 Fine-Grained Face Swapping via Regional GAN Inversion CVPR 2023 Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network CVPR 2023 Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion AAAI 2023 Fine-Grained Retrieval Prompt Tuning AAAI 2023 Fine-grained Text Style Transfer with Diffusion-Based Language Models ACL 2023 Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition Interspeech 2023 Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023 Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features EACL 2023 Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models ACL 2023 Fine-tuning Sentence-RoBERTa to Construct Word Embeddings for Low-resource Languages from Bilingual Dictionaries ACL 2023 Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation NeurIPS 2023 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron ICML 2023 FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression NeurIPS 2023 FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTa SemEval 2023 First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning ICCV 2023 Fisher Information Embedding for Node and Graph Learning ICML 2023 FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction ICCV 2023 FitMe: Deep Photorealistic 3D Morphable Model Avatars CVPR 2023 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023 Fitting trees to ℓ_1-hyperbolic distances NeurIPS 2023 FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning NeurIPS 2023 FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023 Flexible Model Aggregation for Quantile Regression JMLR 2023