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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)

CUET_INSights@NLU of Devanagari Script Languages 2025: Leveraging Transformer-based Models for Target Identification in Hate Speech COLING 2025 CUET_NetworkSociety@DravidianLangTech 2025: A Multimodal Framework to Detect Misogyny Meme in Dravidian Languages NAACL 2025 CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Based Approach for Detecting AI-Generated Product Reviews in Low-Resource Dravidian Languages NAACL 2025 CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Driven Approach to Political Sentiment Analysis of Tamil X (Twitter) Comments NAACL 2025 CUET-NLP_Big_O@DravidianLangTech 2025: A BERT-based Approach to Detect Fake News from Malayalam Social Media Texts NAACL 2025 CUET-NLP_Big_O@DravidianLangTech 2025: A Multimodal Fusion-based Approach for Identifying Misogyny Memes NAACL 2025 CUET-NLP_MP@DravidianLangTech 2025: A Transformer and LLM-Based Ensemble Approach for Fake News Detection in Dravidian NAACL 2025 CUET_Novice@DravidianLangTech 2025: A Bi-GRU Approach for Multiclass Political Sentiment Analysis of Tamil Twitter (X) Comments NAACL 2025 CUET_Novice@DravidianLangTech 2025: Abusive Comment Detection in Malayalam Text Targeting Women on Social Media Using Transformer-Based Models NAACL 2025 CUET_Sntx_Srfrs at BLP-2025 Task 1: Combining Hierarchical Classification and Ensemble Learning for Bengali Hate Speech Detection AACL 2025 CUET_SR34 at CQs-Gen 2025: Critical Question Generation via Few-Shot LLMs – Integrating NER and Argument Schemes ACL 2025 CUGF: A Reliable and Fair Recommendation Framework AAAI 2025 CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis ACL 2025 Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution AAAI 2025 Cultural Learning-Based Culture Adaptation of Language Models ACL 2025 CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis EMNLP 2025 CUNI-a at ArchEHR-QA 2025: Do we need Giant LLMs for Clinical QA? ACL 2025 CUNI and Phrase at WMT25 MT Evaluation Task EMNLP 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025 Curating Demonstrations using Online Experience RSS 2025 CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models EMNLP 2025 CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint) IJCAI 2025 Curiosity-Driven Reinforcement Learning from Human Feedback ACL 2025 CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models EMNLP 2025 Current Semantic-change Quantification Methods Struggle with Discovery in the Wild EMNLP 2025