Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction IJCAI 2025 Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages EMNLP 2025 Meta-Reflection: A Feedback-Free Reflection Learning Framework ACL 2025 Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge EMNLP 2025 Meta-Semantics Augmented Few-Shot Relational Learning EMNLP 2025 MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation ACL 2025 Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models ACL 2025 Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025 MetaVIn: Meteorological and Visual Integration for Atmospheric Turbulence Strength Estimation WACV 2025 MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025 MetninOzU at BioLaySumm2025: Text Summarization with Reverse Data Augmentation and Injecting Salient Sentences ACL 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025 Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models EMNLP 2025 Metric Compatible Training for Online Backfilling in Large-Scale Retrieval WACV 2025 MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment ACL 2025 MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification CVPR 2025 MEXMA: Token-level objectives improve sentence representations ACL 2025 MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Multi-hop Hate Speech Explanation EMNLP 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities CVPR 2025 MHBench: Demystifying Motion Hallucination in VideoLLMs AAAI 2025 M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals EMNLP 2025 MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing CVPR 2025 MICE: Mixture of Image Captioning Experts Augmented e-Commerce Product Attribute Value Extraction ACL 2025 MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025