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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)

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients EMNLP 2025 Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning IJCAI 2025 Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation ICCV 2025 Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment EMNLP 2025 Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025 Layered Insights: Generalizable Analysis of Human Authorial Style by Leveraging All Transformer Layers EMNLP 2025 LayerLock: Non-collapsing Representation Learning with Progressive Freezing ICCV 2025 LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context ACL 2025 Lazarus NLP at SemEval-2025 Task 11: Fine-Tuning Large Language Models for Multi-Label Emotion Classification via Sentence-Label Pairing SemEval 2025 LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews ACL 2025 LBC: Language-Based-Classifier for Out-Of-Variable Generalization NAACL 2025 LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models EMNLP 2025 LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing AAAI 2025 LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits AISTATS 2025 LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 LeanAgent: Lifelong Learning for Formal Theorem Proving ICLR 2025 Lean-STaR: Learning to Interleave Thinking and Proving ICLR 2025 Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation ICCV 2025 Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025 Learn and Unlearn: Addressing Misinformation in Multilingual LLMs EMNLP 2025 Learn Beneficial Noise as Graph Augmentation ICML 2025 Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025