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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)

Improving online FDR procedures via online analogs of e-closure and compound e-values UAI 2026 Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision AAAI 2026 Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026 Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks AAAI 2026 Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection EACL 2026 Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging WACV 2026 Incentivizing Strong Reasoning from Weak Supervision EACL 2026 Incomplete In-context Learning ACL 2026 Incomplete Multi-view Diabetic Retinopathy Grading via Self-Supervised Inter- and Intra-View Restoration AAAI 2026 Inference-time Physics Alignment of Video Generative Models with Latent World Models CVPR 2026 Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization AAAI 2026 InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization AAAI 2026 Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion AAAI 2026 Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026 Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer AAAI 2026 Instance-Guided Scene Adaptation for Unsupervised Person Search AAAI 2026 Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach COLT 2026 InstructDubber: Instruction-based Alignment for Zero-shot Movie Dubbing AAAI 2026 Integrating Diverse Assignment Strategies into DETRs AAAI 2026 INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval AAAI 2026 Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction AAAI 2026 Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space WACV 2026