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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)

Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation AAAI 2026 Bridging Human Evaluation to Infrared and Visible Image Fusion CVPR 2026 Bridging Optimization and Neural Networks for Efficient Multi-view Clustering AAAI 2026 Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation AAAI 2026 Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark AAAI 2026 BrightRate: Quality Assessment for User-Generated HDR Videos WACV 2026 Bring Your Dreams to Life: Continual Text-to-Video Customization AAAI 2026 Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage AAAI 2026 Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026 Building ASR Resources for the Hutsul Dialect of Ukrainian EACL 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions UAI 2026 C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning AAAI 2026 C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026 CaBSALLM: Efficient Context-Aware Batch Annotation of Conversational Streams with Large Language Models ACL 2026 CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026 CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow WACV 2026 Calibeating Made Simple COLT 2026 Calibration-Aware Online Adaptation under Label Shift UAI 2026 Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026 CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior ACL 2026 CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation ACL 2026 CamPI: Physical Adversarial Examples through Camera Power Signal Injection CVPR 2026 Can ChatGPT Really Understand Modern Chinese Poetry? EACL 2026 CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026