Skip to content
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

4
51
357
966
4,853
5,823
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

What should a neuron aim for? Designing local objective functions based on information theory ICLR 2025 What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization ICCV 2025 What’s in a prompt? Language models encode literary style in prompt embeddings EMNLP 2025 What the #?*!: Disentangling Hate Across Target Identities NAACL 2025 What to align in multimodal contrastive learning? ICLR 2025 When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity EMNLP 2025 When Bad Data Leads to Good Models ICML 2025 When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025 When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text ACL 2025 When does compositional structure yield compositional generalization? A kernel theory. ICLR 2025 When Do LLMs Help With Node Classification? A Comprehensive Analysis ICML 2025 When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach CVPR 2025 When do neural networks learn world models? ICML 2025 When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline AAAI 2025 When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following EMNLP 2025 When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training ICCV 2025 When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025 When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings AISTATS 2025 When to retrain a machine learning model ICML 2025 When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length ACL 2025 Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation IJCAI 2025 Where do LLMs Encode the Knowledge to Assess the Ambiguity? COLING 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Which Attention Heads Matter for In-Context Learning? ICML 2025 Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression ICLR 2025