conftrace_

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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Papers (including subtopics)

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction NAACL 2024 Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation EMNLP 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning NAACL 2024 Large Language Models Can Learn Representation in Natural Language ACL 2024 Large Language Models Encode the Practice of Medicine NAACL 2024 Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling COLING 2024 Large Language Models Relearn Removed Concepts ACL 2024 Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024 Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes CoRL 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task SemEval 2024 Latent Concept-based Explanation of NLP Models EMNLP 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024 Latent Intrinsics Emerge from Training to Relight NeurIPS 2024 Latent Modulated Function for Computational Optimal Continuous Image Representation CVPR 2024 Latent Neural Operator for Solving Forward and Inverse PDE Problems NeurIPS 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ICLR 2024 Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks NeurIPS 2024 latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction ECCV 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024