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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)

Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026 Text Classification Under Class Distribution Shift: A Survey EACL 2026 Text-guided Controllable Diffusion for Realistic Camouflage Images Generation AAAI 2026 Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models AAAI 2026 TextShield-R1: Reinforced Reasoning for Tampered Text Detection AAAI 2026 TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion AAAI 2026 TGCD: A Framework for Generalized Category Discovery in Time-Series Data AAAI 2026 TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026 The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP ACL 2026 The Art of Calling the Winner by Asking Just Enough Questions UAI 2026 The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents ACL 2026 The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning EACL 2026 The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans? AAAI 2026 The Finer the Better: Towards Granular-aware Open-set Domain Generalization AAAI 2026 The Hidden Cost of Approximation in Online Mirror Descent COLT 2026 The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies AAAI 2026 The Minimal Search Space for Conditional Causal Bandits UAI 2026 The Price of Knowledge: Optimal Algorithms for Costly Bandits UAI 2026 The Role of Contextual Information in Best Arm Identification JMLR 2026 The Sample Complexity of Multiclass and Sparse Contextual Bandits COLT 2026 The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks AAAI 2026 The Silence of the Facts: Popularity as a Barrier to Machine Unlearning ACL 2026 The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models AAAI 2026 Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring EACL 2026 Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations EACL 2026