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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)

Contrastive Label Enhancement IJCAI 2023 Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words EMNLP 2023 Contrastive Learning of Sociopragmatic Meaning in Social Media ACL 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Contrastive Learning with the Feature Reconstruction Amplifier AAAI 2023 Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion NeurIPS 2023 Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization WACV 2023 Contrastive Loss is All You Need to Recover Analogies as Parallel Lines ACL 2023 Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time NeurIPS 2023 Contrastive Multi-Task Dense Prediction AAAI 2023 Contrastive Open Set Recognition AAAI 2023 Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023 Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance WACV 2023 Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions Interspeech 2023 Controllable Guide-Space for Generalizable Face Forgery Detection ICCV 2023 Controllable Neural Symbolic Regression ICML 2023 Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023 Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning AAAI 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification ACL 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Converge to the Truth: Factual Error Correction via Iterative Constrained Editing AAAI 2023 Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts EACL 2023