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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)

Masked Diffusion Transformer is a Strong Image Synthesizer ICCV 2023 Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling ACL 2023 Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation Interspeech 2023 MaskedSpeech: Context-aware Speech Synthesis with Masking Strategy Interspeech 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 Masked Vision and Language Modeling for Multi-modal Representation Learning ICLR 2023 MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion ICLR 2023 Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract) AAAI 2023 Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark NeurIPS 2023 Massively Multilingual Lexical Specialization of Multilingual Transformers ACL 2023 Massively Scaling Heteroscedastic Classifiers ICLR 2023 Mastering Spatial Graph Prediction of Road Networks ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering ACL 2023 Match Cutting: Finding Cuts With Smooth Visual Transitions WACV 2023 Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation CVPR 2023 Matching Latent Encoding for Audio-Text based Keyword Spotting Interspeech 2023 Matching Map Recovery with an Unknown Number of Outliers AISTATS 2023 Matrix Estimation for Individual Fairness ICML 2023 Matt Bai at SemEval-2023 Task 5: Clickbait spoiler classification via BERT SemEval 2023 MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding EMNLP 2023 Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space - Transformer Ensemble Models Tackling Deception and Persuasion EMNLP 2023 Mavericks at NADI 2023 Shared Task: Unravelling Regional Nuances through Dialect Identification using Transformer-based Approach EMNLP 2023 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness NeurIPS 2023 Maximum Independent Set: Self-Training through Dynamic Programming NeurIPS 2023