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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)

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels ICLR 2025 Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity ICLR 2025 AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer CVPR 2025 AniMo: Species-Aware Model for Text-Driven Animal Motion Generation CVPR 2025 An Information Criterion for Controlled Disentanglement of Multimodal Data ICLR 2025 An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding AAAI 2025 An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues NAACL 2025 An Investigation on LLMs' Visual Understanding Ability using SVG for Image-Text Bridging WACV 2025 AniSan@NLU of Devanagari Script Languages 2025: Optimizing Language Identification with Ensemble Learning COLING 2025 An LLM-Based Approach for Insight Generation in Data Analysis NAACL 2025 AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations ICCV 2025 Annotating and Inferring Compositional Structures in Numeral Systems Across Languages ACL 2025 Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025 Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models EMNLP 2025 Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation CVPR 2025 Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025 A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025 AnoLLM: Large Language Models for Tabular Anomaly Detection ICLR 2025 AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2 WACV 2025 Anomize: Better Open Vocabulary Video Anomaly Detection CVPR 2025 A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation ICLR 2025 An Online Learning Theory of Trading-Volume Maximization ICLR 2025 AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy WACV 2025 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 An OpenMind for 3D Medical Vision Self-supervised Learning ICCV 2025