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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)

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning ACL 2025 Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal AAAI 2025 Disentangle Source and Target Knowledge for Continual Test-Time Adaptation WACV 2025 Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models WACV 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts ICML 2025 Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025 Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French NAACL 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025 Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025 Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ACL 2025 Disentangling Representations through Multi-task Learning ICLR 2025 Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video WACV 2025 Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation WACV 2025 Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze EMNLP 2025 Disentangling Tabular Data Towards Better One-Class Anomaly Detection AAAI 2025 Disentangling Uncertainties by Learning Compressed Data Representation L4DC 2025 (Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages ACL 2025 DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition EMNLP 2025 DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025 DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery CVPR 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025