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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)

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 AdaPrefix++: Integrating Adapters Prefixes and Hypernetwork for Continual Learning WACV 2025 Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ICLR 2025 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025 Adaptation of Large Language Models NAACL 2025 ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation ICLR 2025 AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering CVPR 2025 Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning CVPR 2025 Adapting Definition Modeling for New Languages: A Case Study on Belarusian ACL 2025 Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval ACL 2025 Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining ICCV 2025 Adapting LLM Agents with Universal Communication Feedback NAACL 2025 Adapting Multilingual Embedding Models to Historical Luxembourgish NAACL 2025 Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs COLING 2025 Adapting Prediction Sets to Distribution Shifts Without Labels UAI 2025 Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception CVPR 2025 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025 Adapting to Observation Length of Trajectory Prediction via Contrastive Learning CVPR 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025 Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision ICCV 2025 Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom COLING 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 Adaptive Across-Subcenter Representation Learning for Imbalanced Anomalous Sound Detection Interspeech 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition IJCNLP 2025