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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)

An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling NIPS 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion Models NIPS 2024
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence NIPS 2024
Toward Semantic Gaze Target Detection NIPS 2024
MeLLoC: Lossless Compression with High-order Mechanism Learning NIPS 2024
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms NIPS 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NIPS 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses NIPS 2024
Robot Policy Learning with Temporal Optimal Transport Reward NIPS 2024
Zipfian Whitening NIPS 2024
Improving Neural Network Surface Processing with Principal Curvatures NIPS 2024
Evaluating alignment between humans and neural network representations in image-based learning tasks NIPS 2024
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent NIPS 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction NIPS 2024
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs NIPS 2024
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge NIPS 2024
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond NIPS 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations NIPS 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy NIPS 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing NIPS 2024
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions NIPS 2024
LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss NIPS 2024
ACFun: Abstract-Concrete Fusion Facial Stylization NIPS 2024
Adaptive Passive-Aggressive Framework for Online Regression with Side Information NIPS 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NIPS 2024