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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)

Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025 Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes UAI 2025 Lower Bounds for Time-Varying Kernelized Bandits AISTATS 2025 Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm WACV 2025 Low-Light Image Enhancement Using Event-Based Illumination Estimation ICCV 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Low-resource Buryat-Russian neural machine translation ACL 2025 Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair NAACL 2025 Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service NAACL 2025 Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models NAACL 2025 Loyola at ArchEHR-QA 2025: Exploring Unsupervised Attribution of Generated Text: Attention and Clustering-Based Methods ACL 2025 LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation AAAI 2025 LPDetective: Dusting the LLM Chats for Prompt Template Abusers IJCAI 2025 LP-FT-LoRA: A Three-Stage PEFT Framework for Efficient Domain Adaptation in Bangla NLP Tasks AACL 2025 LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo EMNLP 2025 LPOI: Listwise Preference Optimization for Vision Language Models ACL 2025 LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment IJCAI 2025 LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data ACL 2025 L-SWAG: Layer-Sample Wise Activation with Gradients Information for Zero-Shot NAS on Vision Transformers CVPR 2025 LTG at VarDial 2025 NorSID: More and Better Training Data for Slot and Intent Detection COLING 2025 LTRAG: Enhancing Autoformalization and Self-refinement for Logical Reasoning with Thought-Guided RAG ACL 2025 LTRS: Improving Word Sense Disambiguation via Learning to Rank Senses COLING 2025 LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes ICCV 2025 Luna: A Lightweight Evaluation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost COLING 2025 LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts COLING 2025