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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
Geometric Trajectory Diffusion Models NIPS 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NIPS 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks NIPS 2024
Nonlinear dynamics of localization in neural receptive fields NIPS 2024
Smoke and Mirrors in Causal Downstream Tasks NIPS 2024
Capturing the denoising effect of PCA via compression ratio NIPS 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective NIPS 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NIPS 2024
Improving Decision Sparsity NIPS 2024
Multi-Instance Partial-Label Learning with Margin Adjustment NIPS 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction NIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NIPS 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NIPS 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NIPS 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NIPS 2024
Learning from Pattern Completion: Self-supervised Controllable Generation NIPS 2024
Efficiency for Free: Ideal Data Are Transportable Representations NIPS 2024
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction NIPS 2024
On Softmax Direct Preference Optimization for Recommendation NIPS 2024
Generative Forests NIPS 2024
Scalable DBSCAN with Random Projections NIPS 2024
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization NIPS 2024