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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)

CObL: Toward Zero-Shot Ordinal Layering without User Prompting ICCV 2025 COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation CVPR 2025 cocoa at SemEval-2025 Task 10: Prompting vs. Fine-Tuning: A Multilevel Approach to Propaganda Classification SemEval 2025 CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation ACL 2025 CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning ICCV 2025 CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025 Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT NAACL 2025 CodeContests+: High-Quality Test Case Generation for Competitive Programming EMNLP 2025 codecrackers@DravidianLangTech 2025: Sentiment Classification in Tamil and Tulu Code-Mixed Social Media Text Using Machine Learning NAACL 2025 CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity RSS 2025 CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025 Code Execution as Grounded Supervision for LLM Reasoning EMNLP 2025 Code_Gen at BLP-2025 Task 1: Enhancing Bangla Hate Speech Detection with Transformers through Token-Aware Adversarial Contrastive Training and Layer-wise Learning Rate Decay AACL 2025 CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages COLING 2025 Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency NAACL 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025 CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion EMNLP 2025 CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation AAAI 2025 CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025 Code-switching Mediated Sentence-level Semantic Learning AAAI 2025 CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts ACL 2025 Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification EMNLP 2025 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework AAAI 2025