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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)

Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation IJCAI 2025 Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025 Counterfactual Realizability ICLR 2025 CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds ICCV 2025 Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning ACL 2025 Counting Stacked Objects ICCV 2025 CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model CVPR 2025 CountSE: Soft Exemplar Open-set Object Counting ICCV 2025 Coupling Category Alignment for Graph Domain Adaptation IJCAI 2025 Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 COVTrack: Continuous Open-Vocabulary Tracking via Adaptive Multi-Cue Fusion ICCV 2025 CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization UAI 2025 CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models ICML 2025 CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection AAAI 2025 CPIQA: Climate Paper Image Question Answering Dataset for Retrieval-Augmented Generation with Context-based Query Expansion ACL 2025 CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search NAACL 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ICLR 2025 CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning ICLR 2025 CRAAC: Consistency Regularised Active Learning with Automatic Corrections for Real-Life Road Image Annotations WACV 2025 CRAB: A Benchmark for Evaluating Curation of Retrieval-Augmented LLMs in Biomedicine EMNLP 2025 Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings ACL 2025 Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis ICCV 2025 Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia NAACL 2025 CrackStructures and CrackEnsembles: The Power of Multi-View for 2.5D Crack Detection WACV 2025