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)

Calibration as a Proxy for Fairness and Efficiency in a Perspectivist Ensemble Approach to Irony Detection EMNLP 2025 CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model CVPR 2025 Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering CVPR 2025 CamPoint: Boosting Point Cloud Segmentation with Virtual Camera CVPR 2025 CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression AAAI 2025 Can a calibration metric be both testable and actionable? COLT 2025 Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning ICLR 2025 Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence ICML 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? ICML 2025 CanFields: Consolidating Diffeomorphic Flows for Non-Rigid 4D Interpolation from Arbitrary-Length Sequences ICCV 2025 Can Generative Models Improve Self-Supervised Representation Learning? AAAI 2025 Can GPTZero’s AI Vocabulary Distinguish Between LLM-Generated and Student-Written Essays? ACL 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ACL 2025 Can interpretability and accuracy coexist in cancer survival analysis? MLHC 2025 Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes NAACL 2025 Can Large Language Models Classify and Generate Antimicrobial Resistance Genes? ACL 2025 Can Large Language Models perform Relation-based Argument Mining? COLING 2025 Can Large Language Models Understand Intermediate Representations in Compilers? ICML 2025 Can LLMs be Good Graph Judge for Knowledge Graph Construction? EMNLP 2025 Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 2025 Can LLMs Find a Needle in a Haystack? A Look at Anomaly Detection Language Modeling EMNLP 2025 Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding CVPR 2025 Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers ACL 2025 Can Role Vectors Affect LLM Behaviour? EMNLP 2025