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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)

EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs NAACL 2025 Evading Data Provenance in Deep Neural Networks ICCV 2025 Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems ACL 2025 Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation CVPR 2025 Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution AAAI 2025 Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite? EMNLP 2025 Evaluating and Aligning Human Economic Risk Preferences in LLMs EMNLP 2025 Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications NAACL 2025 Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects? NAACL 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 Evaluating Conversational Agents with Persona-driven User Simulations based on Large Language Models: A Sales Bot Case Study EMNLP 2025 Evaluating Dialect Robustness of Language Models via Conversation Understanding COLING 2025 Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation NAACL 2025 Evaluating Financial Literacy of Large Language Models through Domain Specific Languages for Plain Text Accounting COLING 2025 Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning COLING 2025 Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025 Evaluating Index-based Treatment Allocation in Underresourced Communities AAAI 2025 Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics ACL 2025 Evaluating Language Translation Models by Playing Telephone EMNLP 2025 Evaluating Large Language Models for Detecting Antisemitism EMNLP 2025 Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages COLING 2025 Evaluating LLMs with Multiple Problems at once ACL 2025 Evaluating Model Perception of Color Illusions in Photorealistic Scenes CVPR 2025 Evaluating Numeracy of Language Models as a Natural Language Inference Task NAACL 2025 Evaluating Pretrained Causal Language Models for Synonymy ACL 2025