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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
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966
4,853
5,823
2000
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Papers (including subtopics)

Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? ICCV 2021 Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021 Can We Characterize Tasks Without Labels or Features? CVPR 2021 Can You Distinguish Truthful from Fake Reviews? User Analysis and Assistance Tool for Fake Review Detection EACL 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NeurIPS 2021 CAPE: Context-Aware Private Embeddings for Private Language Learning EMNLP 2021 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 CapsuleRRT: Relationships-Aware Regression Tracking via Capsules CVPR 2021 Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder ACL 2021 Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser EMNLP 2021 Cardinality-Regularized Hawkes-Granger Model NeurIPS 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021 Cartography Active Learning EMNLP 2021 Cascaded Span Extraction and Response Generation for Document-Grounded Dialog ACL 2021 Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences AAAI 2021 CASE 2021 Task 2 Socio-political Fine-grained Event Classification using Fine-tuned RoBERTa Document Embeddings ACL 2021 CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models ACL 2021 CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 Catchphrase: Automatic Detection of Cultural References ACL 2021 CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing WACV 2021 Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Causal Autoregressive Flows AISTATS 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021