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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)
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Papers (including subtopics)

Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 Task Expansion and Cross Refinement for Open-World Conditional Modeling UAI 2026 Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing UAI 2026 Task-Level Instructions Induction for Audio Question Answering from Few Examples EACL 2026 Task-Specific Distance Correlation Matching for Few-Shot Action Recognition AAAI 2026 Teach AI What It Doesn’t Know AAAI 2026 Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026 Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning ACL 2026 Team Evaluators at SemEval-2026 Task 6: Instruction-Tuned LLMs for Clarity and Evasion Classification in Political Interviews SemEval 2026 Team HausaNLP at SemEval-2026 Task 9: Tackling Class Imbalance in Low-Resource Hausa Polarization Detection SemEval 2026 TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study SemEval 2026 TechING: Towards Real World Technical Image Understanding via VLMs EACL 2026 TeleAI at SemEval-2026 Task 3: Large Language Models for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 TeleAI at SemEval-2026 Task 4: Few-Shot Narrative Similarity Modeling for Classification and Ranking SemEval 2026 TELLME: Test-Enhanced Learning for Language Model Enrichment EACL 2026 Temporal Calibrating and Distilling for Scene-Text Aware Text-Video Retrieval AAAI 2026 TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains AAAI 2026 TESO: Online Tracking of Essential Matrix by Stochastic Optimization CVPR 2026 Testing Noise Assumptions of Learning Algorithms COLT 2026 Testing Partially-Identifiable Causal Queries Using Ternary Tests UAI 2026 Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026 Test-Time Consistency in Vision Language Models WACV 2026 Test-time Diverse Reasoning by Riemannian Activation Steering AAAI 2026 Test-Time Preference Optimization for Image Restoration AAAI 2026 Test-time Prompt Intervention AAAI 2026