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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)

BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition ICML 2025 bea-jh at BEA 2025 Shared Task: Evaluating AI-powered Tutors through Pedagogically-Informed Reasoning ACL 2025 BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation AAAI 2025 Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning ICLR 2025 BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models ACL 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation AAAI 2025 BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum EMNLP 2025 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Believing is Seeing: Unobserved Object Detection using Generative Models CVPR 2025 BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering ACL 2025 Bemba Speech Translation: Exploring a Low-Resource African Language ACL 2025 Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms ICLR 2025 Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs COLING 2025 Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5 NAACL 2025 Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning ACL 2025 Benchmarking and Improving LLM Robustness for Personalized Generation EMNLP 2025 Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models EMNLP 2025 Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025 Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025 Benchmarking Failures in Tool-Augmented Language Models NAACL 2025 Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond EMNLP 2025 Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation EMNLP 2025 Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards EMNLP 2025 Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories ACL 2025 Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance EMNLP 2025