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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)

ATM: Enhanced Alignment for Text-to-Motion Generation WACV 2026 ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs EACL 2026 ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements L4DC 2026 Attention Retention for Continual Learning with Vision Transformers AAAI 2026 Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework AAAI 2026 A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance JMLR 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset WACV 2026 AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection EACL 2026 Automated Quality Control for Language Documentation: Detecting Phonotactic Inconsistencies in a Kokborok Wordlist EACL 2026 Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Automatic Funny Scene Extraction from Long-form Cinematic Videos AAAI 2026 Autonomous Concept Drift Threshold Determination AAAI 2026 Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Autoregressive Styled Text Image Generation, but Make it Reliable WACV 2026 AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026 AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization WACV 2026 AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts CVPR 2026 Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed COLT 2026 Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning AAAI 2026 Backdooring Rationalization AAAI 2026 BAFIS: Dataset + Framework to Assess Occupational Bias and Human Preference in Modern Text-to-image Models WACV 2026 Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization UAI 2026 BAMI: Training-Free Bias Mitigation in GUI Grounding CVPR 2026