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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)

When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA EMNLP 2025 When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025 When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach AAAI 2025 When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025 When Pixel Difference Patterns Meet ViT: PiDiViT for Few-Shot Object Detection ICCV 2025 When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification ACL 2025 When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training ICCV 2025 When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data AAAI 2025 When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods ACL 2025 When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning CVPR 2025 When The MOS Predictor Asks For Training Annotation In Cross Lingual/Domain Adaptation Interspeech 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025 When Visual State Space Model Meets Backdoor Attacks WACV 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation IJCAI 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025 Where is this coming from? Making groundedness count in the evaluation of Document VQA models NAACL 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted CVPR 2025 Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025