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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

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51
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966
4,853
5,823
2000
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Papers (including subtopics)

The sub-band cepstrum as a tool for locating local spectral regions of phonetic sensitivity: A first attempt with multi-speaker vowel data Interspeech 2024 The Surprising Effectiveness of SP Voting with Partial Preferences NeurIPS 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of English COLING 2024 The tree autoencoder model, with application to hierarchical data visualization NeurIPS 2024 The Uli Dataset: An Exercise in Experience Led Annotation of oGBV NAACL 2024 The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric ICLR 2024 The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement CVPR 2024 The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation NAACL 2024 The Vedic Compound Dataset COLING 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ICLR 2024 The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning ICML 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 This Paper Had the Smartest Reviewers - Flattery Detection Utilising an Audio-Textual Transformer-Based Approach Interspeech 2024 Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs ACL 2024 Threat Behavior Textual Search by Attention Graph Isomorphism EACL 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024 Three Studies on Predicting Word Concreteness with Embedding Vectors COLING 2024 Threshold-Consistent Margin Loss for Open-World Deep Metric Learning ICLR 2024 Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification ACL 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation COLING 2024 Tight Bounds for Learning RUMs from Small Slates NeurIPS 2024 Tight bounds for maximum ℓ_1-margin classifiers ALT 2024 Tight Rates in Supervised Outlier Transfer Learning ICLR 2024