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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)

Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Enhancing Multi-View Classification Reliability with Adaptive Rejection AAAI 2025 Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders ACL 2025 Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation NAACL 2025 Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning AAAI 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning AAAI 2025 Enhancing Novel Object Detection via Cooperative Foundational Models WACV 2025 Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework COLING 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data AAAI 2025 Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan COLING 2025 Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025 Enhancing Prediction Performance through Influence Measure ICLR 2025 Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems AAAI 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment EMNLP 2025 Enhancing Regulatory Compliance Through Automated Retrieval, Reranking, and Answer Generation COLING 2025 Enhancing Relation Extraction via Supervised Rationale Verification and Feedback AAAI 2025 Enhancing Retrieval-Augmented Generation via Evidence Tree Search ACL 2025 Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS ACL 2025 Enhancing Retrieval Systems with Inference-Time Logical Reasoning ACL 2025 Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025 Enhancing RLHF with Human Gaze Modeling EMNLP 2025 Enhancing Robustness in Incremental Learning with Adversarial Training AAAI 2025