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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)

Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help EMNLP 2025 Findings of WMT 2025 Shared Task on Low-resource Indic Languages Translation EMNLP 2025 Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization ACL 2025 Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models NAACL 2025 FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity CVPR 2025 Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025 Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models CVPR 2025 Fine-Grained Evaluation of English-Russian MT in 2025: Linguistic Challenges Mirroring Human Translator Training EMNLP 2025 Fine-grained Fallacy Detection with Human Label Variation NAACL 2025 Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025 Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking AAAI 2025 Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation CVPR 2025 Fine-Tuned Transformer-Based Weighted Soft Voting Ensemble for Persuasion Technique Classification in Slavic Languages ACL 2025 Fine‐Tuned Transformers for Detection and Classification of Persuasion Techniques in Slavic Languages ACL 2025 Fine-tuning can Help Detect Pretraining Data from Large Language Models ICLR 2025 Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation EMNLP 2025 Fine-Tuning Language Models with Collaborative and Semantic Experts AAAI 2025 Fine-Tuning Large Language Models for Relation Extraction within a Retrieval-Augmented Generation Framework ACL 2025 Fine-Tuning Large Language Models with Sequential Instructions NAACL 2025 Finetuning LLMs for EvaCun 2025 token prediction shared task NAACL 2025 Finetuning LLMs for Human Behavior Prediction in Social Science Experiments EMNLP 2025 Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records ACL 2025 Fine-Tuning Medium-Scale LLMs for Joint Intent Classification and Slot Filling: A Data-Efficient and Cost-Effective Solution for SMEs COLING 2025 Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs ACL 2025 Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance IJCNLP 2025