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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)

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025 An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer NAACL 2025 An Orthogonal High-Rank Adaptation for Large Language Models EMNLP 2025 A Novel Dataset for Classifying German Hate Speech Comments with Criminal Relevance ACL 2025 A Novel Negative Sample Generation Method for Contrastive Learning in Hierarchical Text Classification COLING 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025 AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting ACL 2025 ANSR@DravidianLangTech 2025: Detection of Abusive Tamil and Malayalam Text Targeting Women on Social Media using RoBERTa and XGBoost NAACL 2025 Anti-Tamper Protection for Unauthorized Individual Image Generation ICCV 2025 ANVITA : A Multi-pronged Approach for Enhancing Machine Translation of Extremely Low-Resource Indian Languages EMNLP 2025 Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025 AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos CVPR 2025 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025 Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025 AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities CVPR 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model ICCV 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs ACL 2025 Anytime-Valid A/B Testing of Counting Processes AISTATS 2025 AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors ICLR 2025 AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) AAAI 2025 A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection WACV 2025 A Pipeline to Assess Merging Methods via Behavior and Internals EMNLP 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025