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)

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025 DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition EMNLP 2025 Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis ACL 2025 Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework ACL 2025 Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection COLING 2025 Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration CVPR 2025 Dynamic Reference Extraction and Linking across Multiple Scholarly Knowledge Graphs AACL 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 Dynamic Scaling of Unit Tests for Code Reward Modeling ACL 2025 Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation CVPR 2025 Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing AAAI 2025 Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation AAAI 2025 Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning ACL 2025 Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 DynaPrompt: Dynamic Test-Time Prompt Tuning ICLR 2025 DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates ACL 2025 DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis AAAI 2025 DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition NAACL 2025 DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding CVPR 2025 DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification COLING 2025 DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition NAACL 2025 Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025 DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation ICCV 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025