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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)

Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning AAAI 2024 Transformer-Based Selective Super-resolution for Efficient Image Refinement AAAI 2024 Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification AAAI 2024 Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce AAAI 2024 Transformers are Minimax Optimal Nonparametric In-Context Learners NeurIPS 2024 Transformers can optimally learn regression mixture models ICLR 2024 Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape ICML 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot ICML 2024 Transformers Represent Belief State Geometry in their Residual Stream NeurIPS 2024 Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values IJCAI 2024 Transition-based Opinion Generation for Aspect-based Sentiment Analysis ACL 2024 Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection ACL 2024 Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity AAAI 2024 Translingual Language Markers for Cognitive Assessment from Spontaneous Speech Interspeech 2024 Transport of Algebraic Structure to Latent Embeddings ICML 2024 Traveling Waves Encode The Recent Past and Enhance Sequence Learning ICLR 2024 Treatment Effects Estimation By Uniform Transformer ICLR 2024 Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing ACL 2024 Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees NeurIPS 2024 TREE-G: Decision Trees Contesting Graph Neural Networks AAAI 2024 Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation AAAI 2024 T-Rep: Representation Learning for Time Series using Time-Embeddings ICLR 2024 TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval WACV 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024