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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)

Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script ACL 2026 Thesis Proposal: Measuring Prejudice at Scale EACL 2026 Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages ACL 2026 Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models ACL 2026 Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility ACL 2026 Thinking Aesthetics Assessment of Image Color Temperature: Models, Datasets and Benchmarks AAAI 2026 Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models EACL 2026 Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval AAAI 2026 Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals AAAI 2026 Three Types of Calibration using Properties and their Semantic and Formal Relationships JMLR 2026 Tight Sample Complexity Bounds for Entropic Best Policy Identification COLT 2026 TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability AAAI 2026 Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring AAAI 2026 Time-aware Motion Planning in Dynamic Environments with Conformal Prediction L4DC 2026 TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026 Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series AAAI 2026 Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications AAAI 2026 Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026 Time Shuffle: A Transferability-Booster for Multiple Audio Adversarial Tasks AAAI 2026 Timestamp Query Transformer for Temporal Action Segmentation WACV 2026 Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation AAAI 2026 TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs AAAI 2026 TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection CVPR 2026 To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance AAAI 2026 Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation AAAI 2026