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)

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step ICCV 2025 LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning EMNLP 2025 LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation AAAI 2025 LLM Agents for Coordinating Multi-User Information Gathering ACL 2025 LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation ACL 2025 LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning ICCV 2025 LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection NAACL 2025 LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions IJCAI 2025 LLM-Based Dialogue Labeling for Multiturn Adaptive RAG EMNLP 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 LLM-based post-editing as reference-free GEC evaluation ACL 2025 LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025 LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback ACL 2025 LLM Dependency Parsing with In-Context Rules ACL 2025 LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection EMNLP 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation AAAI 2025 LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection ACL 2025 LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue ACL 2025 LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models COLING 2025 LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation ACL 2025 LLM-Friendly Knowledge Representation for Customer Support COLING 2025 LLM-Generated Passphrases That Are Secure and Easy to Remember NAACL 2025 LLM-Guided Co-Training for Text Classification EMNLP 2025 LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025