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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)

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios WACV 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 Conditional Kernel Imitation Learning for Continuous State Environments L4DC 2025 Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation ICCV 2025 Conditional [MASK] Discrete Diffusion Language Model EMNLP 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 Conditional Semantic Textual Similarity via Conditional Contrastive Learning COLING 2025 ConDo: Continual Domain Expansion for Absolute Pose Regression AAAI 2025 Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement ACL 2025 ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement AAAI 2025 CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions ACL 2025 Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification ICML 2025 Confidence Elicitation: A New Attack Vector for Large Language Models ICLR 2025 Confidence Estimation for Error Detection in Text-to-SQL Systems AAAI 2025 Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025 Confidence Improves Self-Consistency in LLMs ACL 2025 Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025 Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining ACL 2025 Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information EMNLP 2025 Conflicts in Texts: Data, Implications and Challenges EMNLP 2025 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025