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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)

InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning COLING 2025 Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque EMNLP 2025 InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages ACL 2025 Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models ICCV 2025 Instruction-Tuned English to Bhojpuri Neural Machine Translation Using Contrastive Preference Optimization EMNLP 2025 Instruction-tuned QwenChart for Chart Question Answering ACL 2025 Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025 InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales ICLR 2025 InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models ICCV 2025 Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning AAAI 2025 InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction ICCV 2025 Integer Programming Based Methods and Heuristics for Causal Graph Learning AISTATS 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design ACL 2025 Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation AAAI 2025 Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation AAAI 2025 Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning AAAI 2025 Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning ICCV 2025 Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework IJCAI 2025 InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding EMNLP 2025 IntelliChain Stars at the Regulations Challenge Task: A Large Language Model for Financial Regulation COLING 2025 Intelligence at the Edge of Chaos ICLR 2025 Intelligent OPC Engineer Assistant for Semiconductor Manufacturing AAAI 2025 Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation COLING 2025 IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding EMNLP 2025