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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)

Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models IJCNLP 2025 Investigating Value-Reasoning Reliability in Small Large Language Models EMNLP 2025 Investment-Driven Social Influence: A Statistical Physics Approach to Advertising Response ACL 2025 Invisible Backdoor Attack against Self-supervised Learning CVPR 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 In vivo cell-type and brain region classification via multimodal contrastive learning ICLR 2025 InvSeg: Test-Time Prompt Inversion for Semantic Segmentation AAAI 2025 IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025 IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization ACL 2025 IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents EMNLP 2025 IPO: Your Language Model is Secretly a Preference Classifier ACL 2025 Irapuarani at SemEval-2025 Task 10: Evaluating Strategies Combining Small and Large Language Models for Multilingual Narrative Detection SemEval 2025 IRGPT: Understanding Real-world Infrared Image with Bi-cross-modal Curriculum on Large-scale Benchmark ICCV 2025 IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery ACL 2025 IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences ACL 2025 Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training ACL 2025 IRSum: One Model to Rule Summarization and Retrieval ACL 2025 IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025 Is a bunch of words enough to detect disagreement in hateful content? COLING 2025 I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content EMNLP 2025 I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue ACL 2025 Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data IJCNLP 2025 iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss SemEval 2025 Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming NAACL 2025