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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)

Claim-Guided Textual Backdoor Attack for Practical Applications NAACL 2025 ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM ACL 2025 CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models NAACL 2025 CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages ACL 2025 Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation WACV 2025 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025 Class-Conditioned Transformation for Enhanced Robust Image Classification WACV 2025 CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition IJCNLP 2025 Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable CVPR 2025 Classifier-Augmented Generation for Structured Workflow Prediction EMNLP 2025 Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification CVPR 2025 Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers CVPR 2025 Classifying Textual Genre in Historical Magazines (1875-1990) NAACL 2025 Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model AISTATS 2025 Class Semantic Attribute Perception Guided Zero-Shot Learning AAAI 2025 Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation ICCV 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers AAAI 2025 CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis EMNLP 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering WACV 2025 CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models ICLR 2025 Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs ACL 2025 CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025 Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025 CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction ACL 2025