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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)

Fine-Tuning Visual Autogressive Models for Subject-Driven Generation ICCV 2025 Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations ACL 2025 Fine-tuning Whisper Tiny for Swahili ASR: Challenges and Recommendations for Low-Resource Speech Recognition ACL 2025 Fine-tuning XLM-RoBERTa for Named Entity Recognition in Kurmanji Kurdish EMNLP 2025 Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin EMNLP 2025 FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025 FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation ACL 2025 FinMoE: A MoE-based Large Chinese Financial Language Model COLING 2025 FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task COLING 2025 FinNLP-FNP-LLMFinLegal @ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge COLING 2025 FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion Classification SemEval 2025 Fired_from_NLP@DravidianLangTech 2025: A Multimodal Approach for Detecting Misogynistic Content in Tamil and Malayalam Memes NAACL 2025 FIRE: Fact-checking with Iterative Retrieval and Verification NAACL 2025 First-AID: the first Annotation Interface for grounded Dialogues ACL 2025 First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks AAAI 2025 FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation ACL 2025 FiVE-Bench: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models ICCV 2025 Fixed-Budget Change Point Identification in Piecewise Constant Bandits AISTATS 2025 Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025 FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation ACL 2025 FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series EMNLP 2025 FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline EMNLP 2025 FLAM: Frame-Wise Language-Audio Modeling ICML 2025 Flaming-hot Initiation with Regular Execution Sampling for Large Language Models NAACL 2025 FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records IJCAI 2025