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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)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025 Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity AAAI 2025 Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator CVPR 2025 Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection CVPR 2025 Large (Vision) Language Models are Unsupervised In-Context Learners ICLR 2025 Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025 LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior ICLR 2025 LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision ICLR 2025 LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 2025 Lasso Bandit with Compatibility Condition on Optimal Arm ICLR 2025 LastingBench: Defend Benchmarks Against Knowledge Leakage EMNLP 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Last Iterate Convergence of Incremental Methods as a Model of Forgetting ICLR 2025 Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025 Latent Action Learning Requires Supervision in the Presence of Distractors ICML 2025 Latent Action Pretraining from Videos ICLR 2025 Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation AAAI 2025 Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition ACL 2025 Latent Expression Generation for Referring Image Segmentation and Grounding ICCV 2025 LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending CVPR 2025 LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization ICCV 2025 LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts WACV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025