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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)

HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection SemEval 2025 HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing ACL 2025 HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search AISTATS 2025 Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025 HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts EMNLP 2025 HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025 HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation AAAI 2025 HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction EMNLP 2025 HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery UAI 2025 HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025 HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning NAACL 2025 HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning EMNLP 2025 Heavy-tailed Estimation is Easier than Adversarial Contamination COLT 2025 HebID: Detecting Social Identities in Hebrew-language Political Text EMNLP 2025 Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025 HEDS 3.0: The Human Evaluation Data Sheet Version 3.0 ACL 2025 HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding AAAI 2025 HELM: Hierarchical Encoding for mRNA Language Modeling ICLR 2025 HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks ACL 2025 HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation CVPR 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning AAAI 2025 HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration CVPR 2025 Henry at BEA 2025 Shared Task: Improving AI Tutor’s Guidance Evaluation Through Context-Aware Distillation ACL 2025 HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025 Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training NAACL 2025