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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)

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024 ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods NeurIPS 2024 A Benchmark Study on Calibration ICLR 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024 A Bit of a Problem: Measurement Disparities in Dataset Sizes across Languages COLING 2024 ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness COLING 2024 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 A Branching Decoder for Set Generation ICLR 2024 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences NeurIPS 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NeurIPS 2024 Abstraction-of-Thought Makes Language Models Better Reasoners EMNLP 2024 Abstract-level Deductive Reasoning for Pre-trained Language Models COLING 2024 Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers ICLR 2024 A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark CVPR 2024 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization NeurIPS 2024 Accelerated Sampling with Stacked Restricted Boltzmann Machines ICLR 2024 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers ICML 2024 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accelerating the Global Aggregation of Local Explanations AAAI 2024 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations CoRL 2024