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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
'5
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Papers (including subtopics)

Prototypical Variational Autoencoder for 3D Few-shot Object Detection NeurIPS 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023 Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 Provable Guarantees for Neural Networks via Gradient Feature Learning NeurIPS 2023 Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks NeurIPS 2023 Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023 Provably Auditing Ordinary Least Squares in Low Dimensions ICLR 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023 Provably Learning Object-Centric Representations ICML 2023 Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery ICCV 2023 PsyAttention: Psychological Attention Model for Personality Detection EMNLP 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023 PTUK-HULAT at ArAIEval Shared Task Fine-tuned Distilbert to Predict Disinformative Tweets EMNLP 2023 Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion NeurIPS 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NeurIPS 2023 PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning NeurIPS 2023 Pushdown Layers: Encoding Recursive Structure in Transformer Language Models EMNLP 2023 Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore ICLR 2023 Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation Interspeech 2023 P-vectors: A Parallel-coupled TDNN/Transformer Network for Speaker Verification Interspeech 2023