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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)

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation ACL 2025 Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025 Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segmentation ICCV 2025 InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation CVPR 2025 InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing CVPR 2025 INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models ACL 2025 Interacting Particle Systems for Fast Linear Quadratic RL L4DC 2025 Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning ICCV 2025 Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing NAACL 2025 Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models ACL 2025 Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline CVPR 2025 Interleaved-Modal Chain-of-Thought CVPR 2025 Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories ICCV 2025 InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025 Inter-Passage Verification for Multi-evidence Multi-answer QA ACL 2025 Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models EMNLP 2025 Interpretable Solutions for Multi-Physics PDEs Using T-NNGP AAAI 2025 Interpretable Sparse Features for Probing Self-Supervised Speech Models IJCNLP 2025 Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios ICLR 2025 Interpret and Control Dense Retrieval with Sparse Latent Features NAACL 2025 Interruption Handling for Conversational Robots RSS 2025 Interweaving Memories of a Siamese Large Language Model AAAI 2025 INT: Establishing Information Transfer for Multilingual Intent Detection and Slot Filling ACL 2025 In the LLM era, Word Sense Induction remains unsolved ACL 2025 Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition AAAI 2025