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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)

Loss Balancing for Fair Supervised Learning ICML 2023 Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way ACML 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition EMNLP 2023 Lovász Principle for Unsupervised Graph Representation Learning NeurIPS 2023 Low-rank matrix recovery with unknown correspondence UAI 2023 Low-Rank Updates of pre-trained Weights for Multi-Task Learning ACL 2023 LowResContextQA at Qur’an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic EMNLP 2023 Low-Resource Formality Controlled NMT Using Pre-trained LM ACL 2023 “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ACL 2023 Low-Resource Text Style Transfer for Bangla: Data & Models EMNLP 2023 Low Tensor Rank Learning of Neural Dynamics NeurIPS 2023 Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023 LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal WACV 2023 LRL_NC at SemEval-2023 Task 4: The Touche23-George-boole Approach for Multi-Label Classification of Human-Values behind Arguments SemEval 2023 LRL_NC at SemEval-2023 Task 6: Sequential Sentence Classification for Legal Documents Using Topic Modeling Features SemEval 2023 LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity IJCAI 2023 LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings SemEval 2023 Luminance-aware Color Transform for Multiple Exposure Correction ICCV 2023 M1437 at BLP-2023 Task 2: Harnessing Bangla Text for Sentiment Analysis: A Transformer-based Approach EMNLP 2023 MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning IJCAI 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023 Machine Learning Driven Aid Classification for Sustainable Development IJCAI 2023 Machine Reading Comprehension using Case-based Reasoning EMNLP 2023